Build production-grade data pipelines on AWS — Glue, Redshift, Kinesis, Athena, EMR, Lake Formation. Real datasets. Real pipelines. Real jobs at Hyderabad's top tech companies.
📋 Course Quick Facts
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Every company in Hi-Tec City and Gachibowli is drowning in data — and they need engineers who can move it, transform it, and make it usable. That's a Data Engineer. And AWS has the most complete toolkit to do that job at scale.
This course doesn't teach you theory about data pipelines — it puts you inside them. You'll process real datasets using AWS Glue ETL, run analytical queries on Redshift and Athena, handle real-time streaming with Kinesis, and build data lakes with Lake Formation.
By the end, you'll have a portfolio of 8+ real data engineering projects that you built yourself, and the skills to walk into any data engineering interview in Hyderabad with confidence.
Basic Python and SQL knowledge is helpful. We cover Python + SQL fundamentals in Module 1, so non-technical backgrounds are welcome too.
9 modules covering every major AWS data engineering service — structured around real job requirements and AWS Data Engineer exam objectives.
Ingest raw CSV/JSON from S3, transform with AWS Glue PySpark jobs, load to Redshift, and visualise in QuickSight — full batch pipeline.
Kinesis Data Streams → Lambda → DynamoDB → API Gateway → real-time dashboard. Process 10,000+ events per second.
Design and build a multi-zone data lake (raw → cleansed → curated) with Lake Formation governance, Glue Catalog, and Athena querying.
Build a complete analytics platform — order data ingestion, Redshift data warehouse with star schema, Athena for ad-hoc queries.
Design and implement CDC (Change Data Capture) from RDS MySQL to Redshift using DMS and Glue — incremental loads, not full refreshes.
Process 100GB+ of web server logs using Apache Spark on EMR, apply sessionisation logic, and store aggregated results in S3 Parquet.
| Experience | Role | Hyderabad Salary |
|---|---|---|
| Fresher (0–1 yr) | Junior Data Engineer, ETL Developer | ₹5–8 LPA |
| 1–3 Years | Data Engineer, Cloud Data Engineer | ₹9–15 LPA |
| 3–5 Years | Senior Data Engineer, Data Architect | ₹15–22 LPA |
| 5+ Years | Data Engineering Lead, Principal Engineer | ₹22–35 LPA |
AWS Data Engineer training covers building scalable data pipelines on AWS using services like Glue, Redshift, Athena, Kinesis, EMR, and Lake Formation. Our Hyderabad course is 100% hands-on — you build real pipelines from scratch on actual AWS accounts, not demo environments.
Basic Python and SQL knowledge helps, but it is not mandatory. We cover Python and SQL fundamentals in Module 1. Students from non-technical backgrounds in Ameerpet and across Hyderabad have successfully completed this course after the foundation module.
We prepare you for the AWS Certified Data Engineer Associate — the most relevant cert for data engineering launched in 2024. We also cover SAA for a strong foundation. Study materials, practice tests, and exam guidance are all included.
Data Engineers in Hyderabad earn premium salaries: Freshers ₹5–8 LPA, mid-level ₹9–15 LPA, senior roles ₹14–22 LPA, leads/architects ₹20–35 LPA. Companies in Hi-Tec City, Gachibowli, Madhapur, and Ameerpet actively hire data engineers.
Yes! We have live online batches for students from Ameerpet, Hi-Tec City, Gachibowli, and all parts of Hyderabad. Same trainer, same 8+ data pipeline projects on real AWS accounts, same placement support as classroom students.
After completing this course you can target: AWS Data Engineer, Data Pipeline Engineer, Cloud Data Engineer, ETL Developer, Data Platform Engineer, BI Engineer. Companies across Hyderabad are actively hiring with salaries from ₹6–22 LPA.
Real reviews from our Google Business profile.