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 deep exploratory analysis across 4,000 movies to identify the factors driving box-office success — framed around a low-budget-production investment scenario.
A pandas-driven analysis across 13 relational CSVs (75 years of F1 history) with multi-way joins, filtering, and map-based visualization.