A Python script that automates the extraction, transformation, and loading of CSV datasets into a PostgreSQL database — eliminating manual data entry.
This page is ready to receive full project documentation — screenshots, a code walkthrough, challenges encountered, and links to the live demo and GitHub repository. Content will be added once the project is complete.
This ETL (Extract, Transform, Load) pipeline automates the movement of data from raw CSV files into a structured PostgreSQL database. The script handles data cleaning, type validation, and incremental loading — tasks that would otherwise require hours of manual work.
[Full description to be added once the project is complete.]