MmelIGaba

MmelIGaba/RetailPulse

RetailPulse: SQL & ETL Data Pipeline Builder A full-stack data engineering project that extracts retail data from Kaggle, transforms it with Python, loads it into PostgreSQL, and visualizes insights via a React dashboard. Features cloud integration (AWS S3), automation, and end-to-end ETL orchestration.

0 stars 2 forks 0 watchers Apache License 2.0
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2 Open Issues Need Help Last updated: Nov 6, 2025

Open Issues Need Help

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Setup GitHub Actions in .github/workflows/pull-request.yml 5 months ago

AI Summary: This issue proposes setting up GitHub Actions to automate the linting of ETL scripts, testing them, and validating SQL queries. It's labeled as a 'good first issue', suggesting it's a straightforward task for newcomers to contribute.

Complexity: 2/5
good first issue
MmelIGaba/RetailPulse
0

RetailPulse: SQL & ETL Data Pipeline Builder A full-stack data engineering project that extracts retail data from Kaggle, transforms it with Python, loads it into PostgreSQL, and visualizes insights via a React dashboard. Features cloud integration (AWS S3), automation, and end-to-end ETL orchestration.

Write requirements.txt for ETL and dashboard 5 months ago

AI Summary: This issue requests the creation of a `requirements.txt` file for an ETL and dashboard project. The necessary Python packages are explicitly listed: pandas, SQLAlchemy, boto3, Streamlit, and psycopg2. This task involves simply listing these dependencies in the correct format.

Complexity: 1/5
good first issue
MmelIGaba/RetailPulse
0

RetailPulse: SQL & ETL Data Pipeline Builder A full-stack data engineering project that extracts retail data from Kaggle, transforms it with Python, loads it into PostgreSQL, and visualizes insights via a React dashboard. Features cloud integration (AWS S3), automation, and end-to-end ETL orchestration.