This project demonstrates an ETL (Extract, Transform, Load) pipeline implemented using Python. The pipeline extracts data from various sources, transforms it into a structured format, and loads it into a database for further analysis.
Data Extraction: Gather data from multiple sources, including files, APIs, or databases.
Data Transformation: Clean, filter, and transform raw data into an analysis-ready format.
Data Loading: Store the processed data in a relational database for querying and visualization.
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