Build a dimensional star schema from flat retail data and load it into PostgreSQL for optimized BI analytics.
- Load flat CSV data (orders, customers, products).
- Create dimension and fact tables.
- Load schema into PostgreSQL.
- Verify joins and KPIs in Power BI.
- Automate warehouse refresh via GitHub Actions.
- Optionally swap in real-world Kaggle or Maven datasets.
- Python (pandas, SQLAlchemy)
- PostgreSQL
- Power BI
- GitHub Actions
- Hostinger