AWS Data Engineering
Online Training & Get Placed in 90 Days
Industry-led live online training by Trainer Venu with real AWS account access every session. Build S3 data lakes, Glue ETL, EMR Spark and Kinesis streaming pipelines from Day 1.
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Trainer Venu calls within 2 hours · Limited seats
What You Will Learn
A practical, industry-aligned curriculum covering every AWS service a modern Data Engineer needs — from S3 data lakes to production streaming pipelines.
AWS Core Services
EC2, IAM, RDS, Lambda, Step Functions — essential AWS building blocks with real hands-on labs every session.
- EC2 — instances, AMIs, auto-scaling groups
- IAM — roles, policies, cross-account access
- RDS — MySQL, PostgreSQL, Aurora
- Lambda + Boto3 — serverless ETL
- Step Functions — pipeline orchestration
AWS Glue & EMR
Serverless ETL with Glue and big data processing with EMR — the two most in-demand AWS data engineering services.
- Glue Crawlers, Data Catalog, ETL Jobs
- Glue DynamicFrames vs Spark DataFrames
- EMR — master, core, task nodes
- PySpark jobs on EMR & EMR Serverless
- AWS DMS — Full Load + CDC replication
PySpark
Master Apache Spark with Python — RDDs, DataFrames, Spark SQL, window functions and performance tuning on real data.
- RDDs — transformations, actions, caching
- DataFrames — schema, joins, aggregations
- Spark SQL — window functions, CTEs, UDFs
- Broadcast joins, partitioning, bucketing
- Parquet, ORC, Delta — optimised formats
Apache Airflow
Pipeline orchestration with DAGs — schedule, automate and orchestrate AWS Glue, EMR and Lambda workflows via MWAA.
- DAGs — operators, sensors, task dependencies
- Glue, EMR, Lambda operators
- MWAA — Managed Airflow on AWS
- XComs, dynamic task mapping, pools
- Scheduling, retries, SLAs
Structured Streaming
Real-time ingestion using Kafka, Spark Structured Streaming, Apache NiFi and AWS Kinesis on production-scale pipelines.
- Kafka — producers, consumers, partitions
- Spark Streaming — readStream, writeStream
- NiFi — data ingestion flows & processors
- Kinesis Streams, Firehose & Analytics
- Watermarking, windowing, checkpointing
Databricks on AWS
Deploy Databricks Lakehouse on AWS — S3 integration, Delta Lake pipelines, Unity Catalog governance and MLflow tracking.
- Databricks workspace on AWS setup
- Delta Lake — ACID, time travel, CDC merge
- S3 + Databricks data lake integration
- Unity Catalog — data governance on AWS
- Databricks + Glue + EMR integration
AWS & Big Data Expert with 14+ Years of Industry Experience
Venu Katragadda is the founder of Sreyobhilashi Institute with 14+ years of hands-on experience at L&T Infotech, Capgemini, Brillio and Manthan Systems as a Big Data Lead and AWS/Spark Developer. 1200+ professionals now work at Amazon, TCS, Infosys, Wipro, Deloitte and 50+ top MNCs.
Every AWS session uses real AWS account access — students build S3 data lakes, Glue PySpark jobs, EMR clusters and Kinesis streaming pipelines from Day 1.
- 14+ years building production AWS data pipelines at Fortune 500 companies
- Personally mentored 1200+ professionals into AWS Data Engineering roles
- Every concept taught with real AWS production use cases — zero theory-only
- Personal resume reviews and 1-on-1 mock interview sessions
- Connects graduates with 50+ active hiring partners across India
"My goal is to bridge the gap between theoretical knowledge and real AWS production environments. Every concept I teach, I've personally used in Fortune 500 production pipelines."
Upcoming Batches
All batches include live sessions, 24-hour replay uploads, doubt-clearing, and placement support. Pick the slot that suits your day.
| Batch | Timing (IST) | Days | Duration | Best For | |
|---|---|---|---|---|---|
| 🌅 Early Morning | 6:00 AM – 7:30 AM | Mon – Fri | 12 Weeks | Students & Early Risers | Enroll |
| ☀️ Morning | 7:30 AM – 9:00 AM | Mon – Fri | 12 Weeks | Job Seekers & Career Switchers | Enroll |
| 🌙 Evening | 8:00 PM – 9:30 PM | Mon – Fri | 12 Weeks | Working Professionals | Enroll |
| ⚡ Weekend Fast-Track | 9:00 AM – 1:00 PM | Sat & Sun | 7–8 Weeks | Fast Completion Seekers | Enroll |
From Our AWS Graduates
Real outcomes from students who transitioned into AWS Data Engineering roles at top companies.
Recently took Databricks & AWS classes with Venu to upskill. He provided in-depth training across the entire ecosystem — AWS, Kafka, NiFi, Airflow, and PySpark. Exceeded all expectations.
This training exceeded my expectations. Venu explains concepts clearly with hands-on examples that make the content easy to understand. I am learning a lot and would definitely recommend to others.
The GenAI and AWS modules were ahead of their time. Applying RAG pipelines and AI-powered data quality checks impressed my team leads — I got promoted within three months of joining.
Frequently Asked Questions
Everything you need to know before enrolling.
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Trainer Venu will call you within 2 hours.