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 about 3 hours ago

AI Summary: This issue proposes setting up a GitHub Actions workflow named 'pull-request.yml' to automate quality checks on pull requests. The workflow will include steps for linting code, running tests for ETL (Extract, Transform, Load) scripts, and validating SQL code to maintain code quality and ensure functional correctness.

Complexity: 3/5
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 about 4 hours ago

AI Summary: The task is to create a `requirements.txt` file for an ETL and dashboard project. This file needs to include the specified Python libraries: pandas, SQLAlchemy, boto3, Streamlit, and psycopg2.

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.