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data-project

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A Data Warehouse project exploring the power of graph databases with Neo4j. This repository includes data integration, advanced querying with Cypher, and graph-based data analysis. Featuring clustering techniques and visualization tools, it provides insights into heterogeneous data management. Built with Python, Pandas, and Neo4j.

  • Updated Feb 27, 2025
  • Jupyter Notebook

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

  • Updated Aug 24, 2024
  • Python

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