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GitHub / nadahamdy217 / Movies-Data-ETL-using-Python-GCP

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nadahamdy217%2FMovies-Data-ETL-using-Python-GCP

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 1.17 MB
Dependencies parsed at: Pending

Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 28 days ago

Commit Stats

Commits: 29
Authors: 1
Mean commits per author: 29.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/nadahamdy217/Movies-Data-ETL-using-Python-GCP

Topics: analytics, data, data-engineering, data-ingestion, data-preparation, data-preprocessing, data-processing, data-project, docker, etl, etl-pipeline, gcp, matplotlib, matplotlib-pyplot, numpy, pandas, pubsub, python, scipy, seaborn

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