Morningstar ETL Project

This project automates the extraction, transformation, and loading (ETL) of financial data from Morningstar APIs into a PostgreSQL database. The system cleans, validates, and enriches data to ensure accuracy and consistency, supporting timely analysis and reporting. By implementing a scheduled and containerized pipeline with Python, Docker, and Celery, the project reduces manual processing, improves data reliability, and enables scalable financial analytics. Key skills demonstrated include ETL design, API integration, data transformation, database management, and workflow automation.