project-three

Public

SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.

beautifulsoup data-engineering etl extract-transform-load flask jupyter-notebook mongodb mongodb-atlas mongodb-atlas-cloud pandas

Creat：2024-02-21T10:39:27

Update：2025-11-21T12:01:26

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