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    1,733 pyspark dataframe trabajados encontrados, precios en USD

    Necesito un programa en python que este revisando constantemente los saldosnbancarios de una cuenta corriente e incorpore los registros en un dataframe cada vez que se genere un movimiento de la cuenta corriente segun cirresponda. Al mismo tiempo enviar un correo electrónico que indique el detalle del movimiento

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    ...almacene en un DataFrame cuya versión acumulada se envíe después de cada extracción en formato csv o excel. Por ejemplo, los rangos horarios podrían ser de 9 a 10, de 13 a 14, y de 16 a 17, y dentro de esos rangos que la hora exacta fuera aleatoria. También habria que ver de establecer que esas conexiones fueran desde IPs distintas. Las páginas son las siguientes: En cada una, habría que ir a la pestaña 'Prices/Quotes'. En esta pestaña hay una serie de botones que cambian la duración o el vencimiento de la opción. Para cada una de estas posibilidades hay que recoger toda la serie de datos e incorporarla al DataFrame general

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    Requerimos contratar desarrolladores para proyectos varios en español: Profesión: Ingeniero en Sistemas o afines - Conocimientos de Lenguaje SQL. - Conocimiento de herramientas ETL. - Conocimiento de Synapse (Pipelines, DataFactory) - Manejo de Storage Accounts. - Conocimiento de procesos de ingenieria de datos(Databricks) - Conocimiento de Pyspark, Python Experiencia en construcción de warehouse, lakehouse

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    ...acabar comprobaríamos, quitando duplicados, que el número total de enlaces obtenidos (listos para el nivel 2) sea igual al número total de enlaces a obtener +- un diferencial (número que obtenemos al principio del scrapeo). El diferencial se usa porque a veces nos pueden decir que hay 298 registros y dos minutos mas tarde que hay 296. La información que se fuera recopilando se llevaría a un dataframe y finalmente a un Excel (me refiero a la información sobre la extracción de cada url). Los enlaces de nivel 1 recopilados al final de todo el proceso se irían llevando a una tabla mysql. Si todas las comprobaciones están bien, borraríamos esta carpeta ya que la ejecución ha sido un éxito, si n...

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    ...acabar comprobaríamos, quitando duplicados, que el número total de enlaces obtenidos (listos para el nivel 2) sea igual al número total de enlaces a obtener +- un diferencial (número que obtenemos al principio del scrapeo). El diferencial se usa porque a veces nos pueden decir que hay 298 registros y dos minutos mas tarde que hay 296. La información que se fuera recopilando se llevaría a un dataframe y finalmente a un Excel (me refiero a la información sobre la extracción de cada url). Los enlaces de nivel 1 recopilados al final de todo el proceso se irían llevando a una tabla mysql. Si todas las comprobaciones están bien, borraríamos esta carpeta ya que la ejecución ha sido un éxito, si n...

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    Se tienen varios DataFrame creados a partir de una base de datos y un archivo base de Excel Se tiene como input los datos del archivo de excel, y a partir de estos datos, se deben filtrar las demas tablas dependiendo de los datos ingresados para al final regresar un solo DataFrame con las caracteristicas deseadas.

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    Necesitamos un Data Engineer con conocimientos de Python/PySpark y Databricks en entorno Azure. Se haría cargo del mantenimiento de una de nuestras aplicaciones durante al menos 2 meses, ampliable. Deseables conocimientos de Datafactory y Retool.

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    proyecto data analisis Finalizado left

    hola, tengo varias bases de datos publicas de dublin y pretendo demostras mediante dataframe y plots en python que una empresa puede funcionar. Pago 80 euros. dos dias , si alguien entiende de python noes demasiado

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    I am looking for an experienced data analyst who is well-versed in PySpark to clean up a medium-sized dataset in a CSV file format. The file contains between 10k-100k rows, and your primary role will be to: - Remove duplicate data entries - Deduplicate the dataset - Handle missing values - Aggregate the resultant data Your proficiency in using PySpark to automate these processes efficiently will be critical to the success of this project. Therefore, prior experience in handling and cleaning similar large datasets would be beneficial. Please note, this project requires precision, meticulousness, and a good understanding of data aggregation principles.

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    This vital task entails cleaning and sorting two CSV files of approximately 100,000 rows and second one of about 1.5million rows using pyspark (Python) in Jupyter Notebook(s). The project consists of several key tasks: Read in both datasets and then: - Standardizing data to ensure consistency - Removal of duplicate entries - Filtering columns we need - Handling and filling missing values - Aggregating data on certain groupings as output Important requirement: I also need unit tests to be written for the code at the end. Ideal Skills: Candidates applying for this project should be adept with Pyspark in Python and have experience in data cleaning and manipulation. Experience with working on datasets of similar size would also be preferable. Attention to detail in ensuring ...

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    Seeking an experienced data scientist to assist in optimizing my synthetic data generator, specific...assist in optimizing my synthetic data generator, specifically by dividing larger datasets into smaller subsets. Expectations are as follows: - Integrate the capability of dividing data into subsets: you will need to specify both the number and size of these subsets. - Implement parallel processing using multi-threading to process these subsets concurrently. - Store the resulting data in a pandas dataframe for further analysis. The dataset involved is rather extensive, containing around 1M records, hence efficiency and good understanding of high-volume data processing is key. Skills in working with Genrocket, Python, Pandas, and multi-threading are highly desirable for success in ...

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    I'm seeking an experienced Data Engineer with proficiency in SQL and PySpark. Key Responsibilities: - Develop and optimize our ETL processes. - Enhance our data pipeline for smoother operations. The ideal candidate should deliver efficient extraction, transformation, and loading of data, which is critical to our project's success. Skills and Experience: - Proficient in SQL and PySpark - Proven experience in ETL process development - Previous experience in data pipeline optimization Your expertise will significantly improve our data management systems, and your ability to deliver effectively and promptly will be highly appreciated.

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    - Conversion of the entire Python code into PySpark. Skills and experience required: - Proficient knowledge in Python.

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    My project requires detailed scraping of the 'Last 21 Days' form from the Irish Racing website for all trainers. I'm interested in gathering specific information from each line item in the form. Not only should you efficiently loop through the website's entire trainer database, you'll also need to provide a neat and organized dataframe in a CSV file format. The Ideal candidate should: - Be proficient in Python for web scraping - Able to handle large amounts of data scraping and manipulation professionally - Show a strong understanding in parsing CSV files Knowing the horse racing field is a plus, but not mandatory.

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    ...competent in either PySpark or RDD, using Python to create versatile code fitting for several scenarios. Your main task will be to write code to compare rows using Python in line with the clear set of rules I provide. These rules are detailed in an attached Word document and are based on comparisons encompassing specific columns, presence or absence of particular data, and multiple criteria comparisons. The expected output is a reversal logic for claim_opened_timestamp_utc. I need output that are in right side. I need either in pyspark or in rdd to compare rows. spark - spark-3.3.0-bin-hadoop3 py4j-0.10.9.5 I am using I need your support till I execute it in my office computer I need it in 3 days. Ideal Skills and Experience: - Proficiency in Python - Experience with...

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    I'm beginer user of Azure Databricks and Pyspark. I'm looking to boost my skills to the next level and need an expert to guide me through advanced techniques. Ideal freelancers should have vast experience and profound knowledge in data manipulation using Pyspark, Azure Databricks, data pipeline construction, and data analysis and visualization. If you've previously tutored or mentored in these areas, it'll be a plus.

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    I need complete 2 small projects done. The data needs to be pulled from API using python. The pulled data needs to be unnested, then transformed to answer some insights with medallion architecture. Here, you need to showcase SCD-type 2 ingestions, incremental joins,...to be pulled from API using python. The pulled data needs to be unnested, then transformed to answer some insights with medallion architecture. Here, you need to showcase SCD-type 2 ingestions, incremental joins, managing PII information, aggregation. Final deliverable needed for 1st project (databricks): Data model designed and architecture overview Notebooks of transformations in Python and PySpark/Spark Scala Final deliverable needed for 2nd project (dbt): Data model designed and architecture overview dbt sql and ...

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    Looking for someone with good skills in Airflow, Pyspark and SQL.

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    I am looking for a skilled professional in Python, with a comprehensive understanding of PySpark, Databricks, and GCP. A primary focus of the project is to build a data pipeline and apply time series forecasting techniques for revenue projection, using historical sales data. Key tasks will include: - Constructing a robust data pipeline using Python, PySpark, and Databricks. - Applying time series forecasting to produce revenue predictions. - Using Mean Squared Error (MSE) to measure model accuracy. The ideal candidate for this project would have: - Proven experience with Python, PySpark, Databricks, and GCP. - Expertise in time series forecasting models. - Practical understanding and use of Mean Squared Error (MSE) for model accuracy. - Experience with large scale ...

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    I am looking to develop a sophisticated and efficient data pipeline for revenue forecasting. This pipeline will be implemented using Python, pyspark, databrics, and gcp Big Data. Here is what you need to know about this task: - Data Source: The data originates from Google Cloud Platform's Big Data service. As such, the freelancer should have solid experience and understanding of working with Big Data services on GCP. - Data Update Frequency: The frequency of data updates will be confirmed during the project, but suffice to say frequency could be high. Prior experience with real-time or near-real-time data processing will be highly beneficial. - Performance Metrics: The key performance metric I'm focusing on is data processing speed. The freelancer should have a strong kn...

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    I'm in need of a specialist, ideally with experience in data science, Python, PySpark, and Databricks, to undertake a project encompassing data pipeline creation, time series forecasting and revenue forecasting. #### Goal: * Be able to extract data from GCP BigData efficiently. * Develop a data pipeline to automate this process. * Implement time series forecasting techniques on the extracted data. * Use the time series forecasting models for accurate revenue forecasting. #### Deadline: * The project needs to be completed ASAP, hence a freelancer with a good turnaround time is preferred. #### Key Skill Sets: * Data Science * Python, PySpark, Databricks * BigData on GCP * Time series forecasting * Revenue forecasting * Data Extraction and Automation Qualification in...

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    I am looking for a developer to create an AWS Glue and Pyspark script that will strengthen the data management of my project. The task involves moving more than 100GB of text data from a MySQL RDS table to my S3 storage account, on a weekly basis. Additionally, the procured data needs to be written on parquet files, for easy referencing. The developer will also need to send scripts to deploy the AWS Glue pipelines on Terraform, fitting all parameters. Skilled expertise in AWS Glue, PySpark, Terraform, MySQL and experience in handling large data is required. There is no compromise on the quality and completion timeline. Effective performance on this project will open doors to more work opportunities on my various projects.

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    I am seeking a skilled professional proficient in managing big data tasks with Hadoop, Hive, and PySpark. The primary aim of this project involves processing and analyzing structured data. Key Tasks: - Implementing Hadoop, Hive, and PySpark for my project to analyze large volumes of structured data. - Use Hive and PySpark for sophisticated data analysis and processing techniques. Ideal Skills: - Proficiency in Hadoop ecosystem - Experience with Hive and PySpark - Strong background in working with structured data - Expertise in big data processing and data analysis - Excellent problem-solving and communication skills Deliverables: - Converting raw data into useful information using Hive and Visualizing the results of queries into the graphical representation...

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    ...currently searching for an experienced AWS Glue expert, proficient in PYsPARK with data frames and Kafka development. The ideal candidate will have: • Expertise in data frame manipulation. • Experience with Kafka integration. • Strong PYsPARK development skills. The purpose of this project is data integration, and we will be primarily processing data from structured databases. The selected freelancer should be able to work with these databases seamlessly, ensuring efficient and effective data integration using AWS Glue. The required work would involve converting structured databases to fit into a data pipeline, setting up data processing, and integrating APIs using Kafka. This project requires a strong background in AWS Glue, PYSPARK, data frame ...

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    I'm seeking assistance to develop a Python-based solution utilizing PySpark for efficient data processing using the Chord Protocol. This project demands an intermediate level of expertise in Apache Spark or PySpark, combining distributed computing knowledge with specific focus on Python programming. Key Requirements: - Proficiency in Python programming and PySpark framework. - Solid understanding of the Chord Protocol and its application in data processing. - Capable of implementing robust data processing solutions in a distributed environment. Ideal Skills and Experience: - Intermediate to advanced knowledge in Apache Spark or PySpark. - Experience in implementing distributed file sharing or data processing systems. - Familiarity with network communicati...

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    ...Professional with strong expertise in Pyspark for a multi-faceted project. Your responsibilities will extend to but not limited to: - Data analysis: You'll be working with diverse datasets including customer data, sales data and sensor data. Your role will involve deciphering this data, identifying key patterns and drawing out impactful insights. - Data processing: A major part of this role will be processing the mentioned datasets, and preparing them effectively for analysis. - Performance optimization: The ultimate aim is to enhance our customer targeting, boost sales revenue and identify patterns in sensor data. Utilizing your skills to optimize performance in these sectors will be highly appreciated. The ideal candidate will be skilled in Hadoop and Pyspark wi...

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    I would like a Python scri...run on Colab that retrieves: 1. Information about games from the following leagues: England (Premier League, Championship), France (Ligue 1, Ligue 2), Germany (Bundesliga, Bundesliga 2), Italy (Serie A, Serie B), Spain (La Liga, La Liga 2). 2. The information needed is for the past season (2022-2023) and the current season (2023-2024), as well as games scheduled for today and tomorrow. 3. The dataframe should contain the following columns: season, date, country, league, home_team, away_team, home_goals (FT), away_goals (FT), home_goals (HT), away_goals (HT), home_odds, draw_odds, away_odds (FT and HT), odds_O0.5, odds_U0.5, odds_O1.5, odds_U1.5, odds_O2.5, odds_U2.5 (FT and HT), BTTS (FT and HT), AH (FT and HT). 4. Odds from Bookmakers (Pinnacle, Betfair...

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    ...demands comprehensive data cleaning using the Pandas dataframe. The freelancer awarded this job needs to be proficient in Python, especially with the Pandas library. Their resourcefulness in data manipulation and cleaning techniques will be paramount. Specific Tasks: - Handling missing data: You ought to remove rows with missing data from the dataframe. It's critical to ensure that the dataset is left with complete entries only. - Removing duplicates: Duplicate entries should be identified and eradicated, ensuring that each data entry is unique and valid. - Adjusting data types: Depending on the necessity of specific analytical goals, you will have to adjust the types of data in the dataframe. - Data standardisation: Data in the dataframe needs to b...

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    Creating python-Databricks Script, covering below points and present in this yt video- : 1. Securely connect to SAP 2. Load Table to Dataframe 3. Load CDS View to Dataframe 4. Load HANA Object to Dataframe 5. Load ODP Extractor to Dataframe in Delta Mode 6. Load Table and write to Datalake storage 7. As is setup and steps in Video It will not cover any Data Analysis, Prediction, or Identifying trends from data. Some basic steps that cover the above points.

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    Amazon review Finalizado left

    I need to impro...()) (("span", {"data-hook": "review-body"}).()) (("span", {"data-hook": "review-date"}).()) (("i", {"data-hook": "review-star-rating"}).()) # Crea un DataFrame con i dati raccolti df_reviews = ({ "ID": review_ids, "Title": review_titles, "Review": review_texts, "Date": review_dates, "Rating": review_ratings }) # Salva il DataFrame in un file Excel df_reviews.to_excel("", index=False) print("Recensioni estratte e salvate con successo.") Improvements: Using an excel where there are the asins to elaborate Select number of review of each product Select review range (f...

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    Build a glue etl using pyspark to transfer data from mysql to postgres. facing challenges in column mappings between the 2 sources, the target database has datatypes enums and text arrays. should solve the erros in column mappings Should have prior experience ingesting data into postgres enum datatype

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    Objective: Develop a Python script that retrieves publicly available information from specified Instagram accounts and stores the data in a structured pandas table, while also creating public URLs to access the creative. Input: Instagram account username (no login credentials required). Output: A pandas dataframe with the following columns populated with data from each Instagram post in the account: - Account Username - Account Followers Count - Audio Track (if applicable) - Post URL - Date of Post - Links to Media in Post (Images/Videos) – you should have a system that downloads each creative in a post and uploads it to a public link I can access and download from. - Post Type (Static, Carousel, Video, Other) - Post Caption - Tagged Accounts - Number of Likes - Number of Co...

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    I have a csv dataframe with OHLC data. I want to plot this data plus some additional lines that came from a list. I want to use plotly. I have a script that plots the candle data, just need to add the additional lines.

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    I am in need of an experienced data engineer with specific expertise in PySpark. This project involves the integration and migration of data from structured databases currently housed in AWS. Here's a rundown of your key responsibilities: - Data integration from various existing structured databases - Migration of the combined data to a single, more efficacious database Ideal Candidate: - Proven experience in data migration and integration projects - Expertise in PySpark is indispensable - Proficiency in manipulating AWS databases - A solid understanding of structured databases and various data formats is mandatory This project is more than just technical skills- I'm looking for someone who can understand the bigger picture and contribute to the overarching str...

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    I'm looking for a professional with a strong understanding of PySpark to help transform a dataframe into JSON following a specific schema. This project's main task is data transformation to aid in data interchange. The project requires: - Expertise in PySpark - Proficiency in data transformation techniques - Specific experience in data aggregation For the transformation, I require the application of an aggregation method. In this case, we will be sorting the data. It's crucial that you are skilled in various aggregation methods, especially sorting. Your knowledge in handling critical PySpark operations is crucial for this job's success. Experience in similar projects will be highly regarded.

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    Looking for an expert Azure Data Engineer to assist with multiple tasks. Your responsibilities will include: - Implementing and managing Azure Data Lake and Data Ingestion. - Developing visual reports...platforms to achieve three main objectives: - Perform sophisticated data analysis and visualization. - Enable advanced data integration and transformation. - Build custom applications to meet specific needs. Candidates should have an advanced understanding of Azure Data Lake, Power BI, and Powerapps, bringing a minimum of 6 years experience as Databricks. Proficiency in Python, SQL, PostGre SQL, and Pyspark is also required. Knowledge of GitHub and the CI/CD Process will be beneficial for this role. If you have the skills and expertise needed for this project, I'd love to...

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    ...need to be pushed swiftly to Elasticsearch using Pyspark. Your expertise will help push all data columns from this file into Elasticsearch, establishing a more actionable access to a significant amount of data. Given the project's urgency, I'm expecting a rapid, reliable transition. While the structure for the documents remains undecided due to the project's intricacies, I'm open to suggestions that will make this process more efficient and effective. Anyone with experience in Pyspark, Elasticsearch, and vast data manipulation will have a substantial edge on this project, as these skills are highly necessary for success. A strong understanding of different data structures is also a plus. • Leading Skills Required: Proficiency in Pyspark ...

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    ...Title: Pyspark Data Engineering Training Overview: I am a beginner/intermediate in Pyspark and I am looking for a training program that focuses on data processing. I prefer one on one and written guides as the format for the training. Skills and Experience Required: - Strong expertise in Pyspark and data engineering - Excellent knowledge of data processing techniques - Experience in creating and optimizing data pipelines - Familiarity with data manipulation and transformation using Pyspark - Ability to explain complex concepts in a clear and concise manner through written guides - Understanding of best practices for data processing in Pyspark Training Topics: The training should primarily focus on data processing. The following topics should be cov...

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    ...training is expected to be spread across multiple days. The trainer must have the capability to provide an understanding of the major concepts and components of Apache Spark, with a focus on how to use Databricks and the Pyspark API to manipulate and visualize data. As the training progresses, the instructor should be able to explain how to develop applications using Pyspark and articulate different approaches that a data scientist would use to evaluate and test their models. The instructor should also be able to educate the users on how to deploy and maintain Pyspark applications and how to provide feedback and questions in order to improve their performance. We expect the trainer to be readily available to answer any questions and guide the users along the w...

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    I am seeking an expert in the field to provide remote training in the use of Databricks and Python with PySpark. This is important for developing data processing applications with a high degree of efficiency. The training should cover areas such as data wrangling, machine learning, and Spark streaming. In order to be successful, attendees must be well-versed in Databricks, Python and PySpark, as these skills will be essential for completing the course. The course should provide a good understanding of the concepts and practical application of these tools. This training will give attendees the skills they need to analyse and manipulate large datasets, develop effective data processing pipelines, design powerful machine learning models and build reliable applications that use...

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    ...S3, and RDS; Azure services; and Pyspark data processing and transformations. Essential Skills: - Proficient in AWS, specifically on EC2, S3, RDS with strong understanding of data storage and retrieval. - Expert in Azure services such as Azure SQL Database and Blob Storage. - Highly experienced in writing efficient data transformations using Pyspark. Ideal Experience: - Minimum 7 years in the field with solid experience in technical interviews and coaching. Your task will be to provide actionable insights, best practices, and expert advice to nail my upcoming technical interview. Having been on the other side of the interview table would be an added advantage. - Proven track record of performing successful data processing and transformations using Pyspark. - Prev...

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    Experienced Python + SQL +AWS +AZURE data engineer (7+ years) for evening IST timings. For guiding in interview preparation specially for data engineering. Tasks: Should have good knowledge of pyspark, sql, pandas Should have written multiple ETL pipeline in aws and azure. Note: The freelancer must be available during evening ist timings.

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    ...structured data such as SQL databases. Skills and experience required: - Expertise in AWS migration, specifically from another cloud provider - Strong knowledge and experience with structured data, particularly SQL databases - Familiarity with AWS Glue and Athena for data processing and analysis - Ability to work with a combination of different AWS services for optimal performance and efficiency Pyspark ,sql,python Cdk Typescript Aws glue ,Emr and andes Currently Migrating from teradata to aws. Responsibilities: - Migrate data from another cloud provider to AWS, ensuring a smooth transition and minimal downtime - Design and develop applications that utilize AWS Glue and Athena for data processing and analysis - Optimize data storage and retrieval using AWS S3 and R...

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    I have an NBA Prediction code in python. Task: 1.) Copy all the python codes to a Jupyter notebook and debug/run it successfully 2.) Output the predictions in a dataframe Notes: 1.) The code already runs but it's easier for me to run it via Jupyter 2.) Important inputs are the dates 2a) Historical data date 2b) Current predictions date. Deadline: 12 hrs Budget: $20

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    ...am looking for a skilled and experienced developer to work on a personal project involving the use of CNN by pyspark for analyzing brain and lung cancer. Skills and Experience: - Proficient in using pyspark and CNN - Intermediate understanding of convolutional neural networks - Familiarity with analyzing medical data - Experience in working with cancer-related datasets - Strong problem-solving skills and attention to detail The project requires the use of specific datasets, which I already have. However, any additional assistance in acquiring relevant datasets would be appreciated. The ideal candidate should have a good understanding of CNN and be able to apply it using pyspark. Experience in analyzing medical data and working with cancer-related datasets would ...

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    I am looking for a skilled professional who can help me with a project titled "synapse pyspark delta lake merge scd type2 without primary key". The ideal candidate should have experience and expertise in the following areas: Desired Outcome: - The desired outcome of the merge process is to update existing records and insert new records. Data Quality: - The level of data quality required for the outcome is high integrity, with no duplicates and full accuracy. Handling Historical Data: - There is a specific requirement to keep track of historical changes to the data. Skills and Experience: - Proficiency in Synapse, Pyspark, Delta Lake - Experience with SCD Type 2 implementation - Strong understanding of data integrity and accuracy - Ability to handle historical da...

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    I am looking for a skilled data analyst experienced in statistical analysis, who can assist me with my project. Specific tasks that I require help with include: - Statistical analysis: I need someone who can perform advanced statistical analysis on my dataset using Python DataFrame. I will be providing the dataset for analysis, so the ideal candidate should be comfortable working with provided data. The main objective of this data analysis project is predictive modeling. Therefore, the ideal candidate should have experience with predictive modeling techniques and be able to provide insights and recommendations based on the analysis. Key skills and experience required for this project include: - Proficiency in Python and working with DataFrames - Strong knowledge of statistic...

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    senriod data engineer Finalizado left

    ...Senior Data Engineer who possesses extensive experience and proficiency in a range of key technologies and tools. The ideal candidate should have a strong background in Python, demonstrating skillful use of this programming language in data engineering contexts. Proficiency in Apache Spark is essential, as we rely heavily on this powerful analytics engine for big data processing. Experience with PySpark, the Python API for Spark, is also crucial. In addition to these core skills, we require expertise in AWS cloud services, particularly AWS Glue and Amazon Kinesis. Experience with AWS Glue will be vital for ETL operations and data integration tasks, while familiarity with Amazon Kinesis is important for real-time data processing applications. Furthermore, the candidate should hav...

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    I have an account with Chartmill.com. I need to use Python to scrape the symbols that shows up in the result table and return the output in a dataframe.

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