Data Engineering Journey

About

This repository tracks my 3-month data engineering learning journey. It includes:

• Daily SQL and Python DSA challenges
• Projects built using PySpark, Airflow, AWS, and other data engineering tools
• Notes and resources for learning

Goals

1. Master core tools for Data Engineering: PySpark, Airflow, AWS, SQL
2. Build two real-world projects (ETL pipeline, real-time streaming)
3. Practice SQL and Python DSA every day to prepare for job interviews

Structure

• Projects: Completed ETL pipelines, data transformations, and streaming solutions.
• Daily Challenges: SQL and Python challenges that I solve daily (organized by weeks).
• Notes: Useful resources, learning paths, and documentation.

Feel free to browse my progress and leave any feedback!