Pass this notebook python script to Spark code

Hi there! I’m looking for a software engineer with python and spark proficiency. Specifically, we need that two functions of an ipython jupyter notebook file (.ipynb) will be converted, or re-written, into spark code. The former script use mainly “pandas” and “numpy” libraries for data treatment, we need the same function using spark data treatment functions. Deliverables: • Jupyter notebook file with the new two functions using spark compatible code • List of libraries or additional packages if they would be needed I will give you: • Original notebook file • Requirements file (Spark 3.3.1) Feel free to ask for more information.