1. Extract and transform data from Google BigQuery and other relevant data sources.
2. Utilize Python and libraries such as Pandas and NumPy to manipulate, clean, and analyze large datasets.
3. Develop and implement Python scripts to automate data extraction, processing, and analysis for comparison reports.
4. Design and execute queries in BigQuery to retrieve specific data sets required for comparison analysis.
Keyskills: reports Bigquery Django Pandas Python scripts python developer Python Development NumPy Python
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