AWS Data Engineer Roadmap — Beginner to Job Ready with Rahul V

🚀 Want to become an AWS Data Engineer but don't know where to start?

I created this beginner-friendly AWS Data Engineer Roadmap to help you go from the basics to building real Data Engineering projects and preparing for your first job.

What's inside?

✅ 20+ week structured learning roadmap

✅ Python → SQL → Git/GitHub → AWS → PySpark → Orchestration

✅ AWS services including S3, Glue, Athena, Lambda, Redshift & CloudWatch

✅ PySpark learning path

✅ Data Engineering concepts you actually need

✅ End-to-end AWS Data Engineering project

✅ Bonus Reddit data pipeline project

✅ Hand-picked Hindi & English YouTube resources

✅ Weekly learning plan

✅ Job-ready skills checklist

✅ Portfolio & GitHub guidance

✅ Data Engineering interview preparation

✅ Resume & job application guidance

🛠️ End-to-End Project

You'll learn the architecture of a complete pipeline using S3 → Lambda → Glue → S3 → Athena → QuickSight, with Python and PySpark.

🎯 Who is this for?

• Students

• Freshers

• Beginners in Data Engineering

• Developers looking to move into Data Engineering

• Anyone confused about what to learn for an AWS Data Engineer role

The roadmap also includes a week-by-week plan covering Python, SQL, AWS, PySpark, orchestration, the final project and job preparation.

Stop randomly watching Data Engineering videos. Start following a structured path. 🚀