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sameersk2k/Retail-Analytics-Data-Engineering-Project

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This project demonstrates the creation of a comprehensive end-to-end data pipeline using Apache Airflow, Google BigQuery, dbt, Soda and Tableau. It is designed for data engineers and enthusiasts looking to build robust data pipelines and ensure data quality within their workflows.

active 2024-08-102025-01-10 (UTC)

Complete coverage26,439 / 26,439 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
10
Pushes
5
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 154 days from 2024-08-10 to 2025-01-10. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
sameersk2k5500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.