# airscholar/RedditDataEngineering

<https://repo.masters-masters.com/en/repos/airscholar/RedditDataEngineering>

[Home](https://repo.masters-masters.com/en) › [airscholar](https://repo.masters-masters.com/en/owners/airscholar) › [RedditDataEngineering](https://repo.masters-masters.com/en/repos/airscholar/RedditDataEngineering)

airscholar/RedditDataEngineering has 229 stars on GitHub. Its RepoMasters card: Prototype tier. This project provides a comprehensive data pipeline solution…

| Field | Value |
| --- | --- |
| Owner | [airscholar](https://repo.masters-masters.com/en/owners/airscholar) |
| Stars | 229 |
| Forks | 98 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | apache-airflow, aws, celery, data-pipeline, reddit, end-to-end-data-engineering |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [airscholar/RedditDataEngineering](https://github.com/airscholar/RedditDataEngineering) |

## Repository

This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. The pipeline leverages a combination of tools and services including Apache Airflow, Celery, PostgreSQL, Amazon S3, AWS Glue, Amazon Athena, and Amazon Reds…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.