Skip to content

smshde/ETL_Housing-Dataset

Repository files navigation

ETL Pipeline — Housing Dataset

Python · SQLAlchemy · PostgreSQL · xlsxwriter

A 6-stage modular ETL pipeline processing 63,474 property transaction records: HTTP extraction → SQLAlchemy transformation → PostgreSQL load → insight generation → Excel export. Built as independent, reusable Python modules with an orchestration entry point.

CSV → Extract.py → Transform.py → Load.py → Execute.py → PostgreSQL → Creating Insights → Exporting Insights.py

github.com/smshde/ETL_Housing-Dataset

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages