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.
active 2025-11-05 → 2025-11-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 24 days from 2025-11-05 to 2025-11-28. Pushes: 15 total, peak 5 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 6 total, peak 3 in a day. Comments: 1 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MmelIGaba | 24 | 11 | 5 | 1 |
| boipelo-codes | 6 | 4 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#32MmelIGaba2025-11-11 07:51
- Issue#8MmelIGaba2025-11-10 11:27Implement load.py to push data to PostgreSQL and AZURE Blob
- Pull request#29boipelo-codes2025-11-10 08:28
- Issue#6MmelIGaba2025-11-07 11:23Scaffold extract.py
- Pull request#23boipelo-codes2025-11-07 10:26
- Issue#6MmelIGaba2025-11-07 09:08Scaffold extract.py
- Issue comment#22MmelIGaba2025-11-06 12:54Wrote requirements.txt for ETL and dashboard
- Pull request#21MmelIGaba2025-11-06 12:26
- Issue#18MmelIGaba2025-11-06 11:31Add .gitignore to exclude env files and data dumps
- Issue#13MmelIGaba2025-11-06 11:28Create filters.py for date/category selection
- Issue#8MmelIGaba2025-11-06 11:24Implement load.py to push data to PostgreSQL and AWS S3
- Pull request#5MmelIGaba2025-11-06 10:18
- Pull request#3MmelIGaba2025-11-05 13:25
- Pull request#1MmelIGaba2025-11-05 12:03
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.