Movie Database ETL Pipeline — Multi-Source Ingestion to SQLite
An end-to-end ETL pipeline that ingests movie metadata from IMDb bulk files and a REST API, stages it in MongoDB, and lands it in a normalized relational schema with foreign keys.
An end-to-end ETL pipeline that ingests movie metadata from IMDb bulk files and a REST API, stages it in MongoDB, and lands it in a normalized relational schema with foreign keys.
A full BI stack analyzing 8,847 Airbnb listings — from raw CSV load through SQL modeling on Supabase to stakeholder dashboards in Preset.
A deep exploratory analysis across 4,000 movies to identify the factors driving box-office success — framed around a low-budget-production investment scenario.