AWS Glue Data Pipeline Architecture Explained | S3, Glue Jobs, and Data Catalog|Data Engineer

n this video, I walk you through the architecture of a data pipeline built using AWS Glue, S3, and the AWS Glue Data Catalog. I explain how data flows across various layers — from raw ingestion to transformation and cataloging — and discuss the reasoning behind each design decision. Whether you're just starting out or refining your AWS expertise, understanding these practical patterns can help you make better architectural choices in your own projects.


Master AWS Data Engineering in Hindi – Complete Course! 🇮🇳
🔥 Learn from Real-World Projects | Only at $21 🔥

📚 Are you ready to become a cloud data engineer?
Check out my Udemy course designed completely in Hindi, perfect for beginners and experienced professionals!

✅ Course Link: https://www.udemy.com/course/master-a...

courseId=6620151

What you'll learn:
✔️ AWS S3 – Best Practices
✔️ AWS Lambda - Best Practices
✔️ AWS Database - Best Practices
✔️ AWS Glue – ETL pipelines using PySpark
✔️ Amazon EMR – Big Data processing with Spark
✔️ Amazon Redshift – Data Warehousing concepts
✔️ Apache Airflow (MWAA) – Workflow orchestration
✔️ AWS Step Functions – Pipeline automation
✔️ Real-time & Batch Data Flow
✔️ Complete Project Architecture explained

Personal Mentorship Available
If you're working on a data engineering project and need guidance, feel free to reach out —
I'll personally help you with your architecture, design, or implementation doubts.

📞 Contact for queries or support:
📧 Email: [email protected]
📱 WhatsApp: +91-8800502668

⏰ Limited time offer – Course available for only $21!
Start your cloud data career today! 🚀