testimonials AWS Data Engineering Online Training | S3 Glue EMR Redshift Kinesis Airflow PySpark Courses
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AWS Data Engineering Training — S3 Glue EMR Redshift Kinesis | Sreyobhilashi IT
New Batch: 6th, April 2025 group 1200+ Students Placed star 4.9/5 Rating Subscribe

Master AWS
Data Engineering
& Get Hired

Industry-led live online training by Trainer Venu with real AWS account access. Build S3 data lakes, Glue ETL, EMR Spark and Kinesis streaming pipelines from Day 1.

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4.9/5 (320+ reviews on Google)  ·  Verified ✓
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New Batch: 3rd, April 2025
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Our Students Work At Amazon • Microsoft • TCS • Infosys • Wipro • Deloitte • Cognizant • Accenture • HCL • Google • IBM •
Our Students Work At Amazon • Microsoft • TCS • Infosys • Wipro • Deloitte • Cognizant • Accenture • HCL • Google • IBM •
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1200+
Students Placed
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Live
Interactive Classes
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14+ Yrs
AWS Experience
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Lifetime
Content Access
Complete Curriculum

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.

cloud

AWS Core Services

EC2, IAM, RDS, Lambda, Step Functions — the essential AWS building blocks every data engineer must master with real hands-on labs.

  • ▸EC2 — instances, AMIs, auto-scaling groups
  • ▸IAM — roles, policies, cross-account access
  • ▸RDS — MySQL, PostgreSQL, Aurora
  • ▸Lambda + Boto3 — serverless ETL
  • ▸Step Functions — pipeline orchestration
14 Topics arrow_forward
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AWS Glue & EMR

Serverless ETL with Glue and big data processing with EMR — the two most in-demand AWS data engineering services in production.

  • ▸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
18 Topics arrow_forward
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PySpark

Master Apache Spark with Python — RDDs, DataFrames, Spark SQL, window functions and performance tuning on real production data.

  • ▸RDDs — transformations, actions, caching
  • ▸DataFrames — schema, joins, aggregations
  • ▸Spark SQL — window functions, CTEs, UDFs
  • ▸Broadcast joins, partitioning, bucketing
  • ▸Parquet, ORC, Delta — optimised formats
16 Topics arrow_forward
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Apache Airflow

Pipeline orchestration with DAGs — schedule, automate and orchestrate AWS Glue, EMR and Lambda workflows using MWAA on AWS.

  • ▸DAGs — operators, sensors, task dependencies
  • ▸Automation — scheduling, retries, SLAs
  • ▸Orchestration — Glue, EMR, Lambda operators
  • ▸MWAA — Managed Airflow on AWS
  • ▸XComs, dynamic task mapping, pools
10 Topics arrow_forward
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Structured Streaming

Real-time ingestion and processing 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
12 Topics arrow_forward
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🔥 Trending

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
8 Topics arrow_forward
download Download Full Syllabus PDF (Free)
Meet Your Mentor

Trainer Venu
AWS & Big Data Expert · 14+ Years

Venu Katragadda is the founder of Sreyobhilashi Institute with 14+ years of hands-on IT industry 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 is taught with real AWS account access — students build S3 data lakes, Glue PySpark jobs, EMR clusters and Kinesis streaming pipelines from Day 1.

Previously At
L&T Infotech Capgemini Brillio
Student Rating
star star star star star 4.9/5

"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."

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Flexible Schedule

Upcoming Batches

Choose a schedule that fits your lifestyle — designed for working professionals and freshers.

Morning Batch 1
Available
🕗 Mon–Fri | 6:00 – 7:30 AM IST
⏱ 12 Weeks | Live Interactive
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Evening Batch
Filling Fast! 🔥
🕘 Mon–Fri | 7:30 – 9:00 PM IST
⏱ 12 Weeks | Live Interactive
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Weekend Batch
Starting Apr 20
Sat & Sun | Flexible Hours
⏱ 14 Weeks | Live Interactive
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Student Success Stories

From Our Graduates

Students who successfully transitioned into AWS Data Engineering roles at top companies.

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"Good training, Venu sir really puts a lot of efforts in training. All concept taught in details. A lot of practice docs also given.I recommend this training to all .Will be worth it,giving you lot of knowledge."

SG
Sheetal Guruji
AWS Data Engineer · Infosys
✅ ₹18 LPA
star star star star star

"Venu sir has explained end to end streaming project, data cleansing, and parsing various source data. This has helped me in my project work. "

NS
Nimisha Shah
Senior Analyst @ Deloitte
star star star star star

"The GenAI module was ahead of its time. It helped me automate complex pipeline migrations, which impressed my team leads immensely."

MM
Mahaboob Mulla
Cloud Architect @ TCS
View All Success Stories arrow_forward

Frequently Asked Questions

Everything you need to know before enrolling.

No prior AWS experience required. We start from scratch — account setup, IAM, CLI — and progressively cover all major AWS data services. Basic Python and SQL knowledge is sufficient.

All classes are live and interactive via Zoom with Trainer Venu. Every session is also recorded and shared in your WhatsApp group within 24 hours for lifetime access.

Yes — resume review, LinkedIn optimisation, mock interviews and job referrals through 200+ hiring partners. 1200+ students placed at Amazon, TCS, Infosys, Wipro, Deloitte and more.

Course fee starts at ₹25,000 (Early Bird). We offer 0% EMI options and accept all major payment methods. Contact us for current offers and group discounts.

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