A two-repository full-stack project that combines automated ETL processing with a creator analytics dashboard. Raw business data is cleaned and loaded into a PostgreSQL warehouse, then surfaced through authenticated product views for real-time performance tracking and growth insights.
This project reflects the combination of two related repositories into one end-to-end business analytics system. The backend ETL layer handles data extraction, normalization, and warehouse loading, while the dashboard layer turns that curated data into a product experience for creators who need timely, actionable performance insights.
Shows creators real-time views of business and content performance.
Protects dashboard access through authenticated sessions.
Reads from curated warehouse data instead of raw source files.
Transforms processed data into decisions creators can act on quickly.