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Netflix Movie Analytics (Homemade) - Data Engineer Things
A comprehensive data engineering project that transforms personal Netflix viewing data into actionable insights by combining Netflix's export data with TMDB API and implementing a complete ETL pipelin
e using GCP, Airflow, and Tableau. The project demonstrates how to enrich basic streaming data with external sources to uncover viewing patterns and preferences.

Reasons to Read -- Learn:

  • how to build an end-to-end data pipeline using GCP services, from raw data storage to data warehouse implementation with practical examples of bucket organization and schema design.
  • how to enrich basic Netflix viewing data using TMDB API integration, showing how to transform limited source data (just titles and dates) into comprehensive analytics.
  • how to implement data orchestration using Airflow with specific examples of DAG organization for extract-load and transform operations in a real-world scenario.
  • 4 min readauthor: Fabio Barbazza
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