🔥 New Batch — 16 September 2026! AWS 8:00–9:30 AM & Azure 6:00–8:00 AM IST — Limited Seats! Reserve Your Seat →
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Upcoming batch announcement

New Databricks Data Engineering Batch
Starts Wednesday, 16 September 2026

Two live morning batches with Trainer Venu — AWS at 8:00–9:30 AM IST and Azure at 6:00–8:00 AM IST, Monday to Friday. 10 weeks, 50 topics, weekend masterclasses and 5 hands-on projects, on a real cloud account and a real Databricks workspace.

--Days
--Hours
--Minutes
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⭐ 4.9/5 on Google · 200+ reviews
👨‍🎓 1200+ professionals trained
🎥 Recordings after every class
🛠️ 5 major projects
💼 Interview & resume prep
1200+Professionals trained
4.9 ★Google rating · 200+ reviews
50+Hiring companies
14+ yrsTrainer experience
10 weeks50 live topics + 5 projects
🗓️ Two Live Morning Batches

Pick your track — AWS or Azure

Both tracks share the same Databricks core: PySpark, Delta Lake, Unity Catalog, streaming, orchestration, performance tuning and CI/CD. The cloud services around that core are what differ.

AWS data engineering with Databricks — S3, Glue, Lambda, Kinesis, Redshift
Batch A · AWS Track

☁️ AWS Data Engineering with Databricks

S3, Glue, Lambda, Step Functions, MSK/Kinesis, Redshift and Databricks on AWS — with real AWS hands-on labs from week 3.

Start dateWednesday, 16 September 2026
Timing (IST)8:00 AM – 9:30 AM
DaysMonday – Friday
Duration10 weeks · 50 topics
Week 1 — your first five classes
  • Day 1 — PySpark & Databricks Introduction
  • Day 2 — Databricks Functions (date, string, numeric)
  • Day 3 — Window Functions (rank, lag, lead)
  • Day 4 — Data Cleaning with Regex
  • Day 5 — Spark-submit Internals
You will also build
  • Metadata-driven Glue + Databricks framework
  • Kafka/Kinesis → Databricks real-time pipeline
  • GitHub Actions → DABs CI/CD deployment
🔥 Limited seats — small batch for live doubt clearing
Azure data engineering with Databricks — ADF, ADLS Gen2, Event Hubs, Microsoft Fabric
Batch B · Azure Track

🔷 Azure Data Engineering with Databricks

ADLS Gen2, Azure Data Factory, Key Vault, Event Hubs, Microsoft Fabric and Databricks on Azure — with guided labs from week 3.

Start dateWednesday, 16 September 2026
Timing (IST)6:00 AM – 8:00 AM
DaysMonday – Friday
Duration10 weeks · 50 topics
Week 1 — your first five classes
  • Day 1 — PySpark & Databricks Introduction
  • Day 2 — Databricks Date & Common Functions
  • Day 3 — Databricks Window Functions
  • Day 4 — Data Cleaning with Regular Expressions
  • Day 5 — spark-submit Internals
You will also build
  • Metadata-driven ADF + Databricks framework
  • Event Hubs → Structured Streaming → Delta Gold
  • Git → GitHub Actions → DABs Dev/Test/Prod
🔥 Limited seats — small batch for live doubt clearing
🤔 Not sure which one?

AWS batch vs Azure batch — side by side

Same trainer, same Databricks depth, same project count. Choose by the cloud your target companies actually run on.

 
☁️ AWS Batch
🔷 Azure Batch
Class timing (IST)
8:00 – 9:30 AM, Mon–Fri
6:00 – 8:00 AM, Mon–Fri
Storage & lake
S3 + Glue Data Catalog
ADLS Gen2 + Blob Storage
Ingestion & ETL
AWS Glue, Lambda, DMS
Azure Data Factory, Mapping Data Flows
Orchestration
Step Functions + Airflow
ADF triggers + Airflow
Streaming
MSK (Kafka), Kinesis, EventBridge
Event Hubs, Kafka endpoint
Analytics / BI layer
Redshift + QuickSight
Microsoft Fabric + OneLake, Synapse
Shared Databricks core
PySpark · Delta Lake · Medallion (Bronze/Silver/Gold) · Unity Catalog · Databricks Asset Bundles · Structured Streaming · Auto Loader · Airflow · performance tuning · GitHub Actions CI/CD · Claude Code & prompt engineering
Best if…
Your target roles list S3/Glue/Redshift or you already work on AWS
Your target roles list ADF/Synapse/Fabric or your company is Microsoft-first

Still undecided? Choose “Not sure — help me choose” on the form below and Venu will suggest the right track on a quick call.

✅ What’s Included

Everything you get with the batch

🎥

Recordings of every class

Shared the same day. Miss a session or want a second pass before an interview — it is always there.

🛠️

5 end-to-end projects

Batch pipeline, metadata-driven framework, lakehouse, real-time streaming and a CI/CD deployment — resume-ready.

🎓

Weekend masterclasses

Claude Code + prompt engineering, performance labs, Delta Sharing, production troubleshooting and a mock interview clinic.

☁️

Real cloud hands-on

You work in a real AWS or Azure environment and a Databricks workspace — not slide-only theory.

📝

Notes, code & datasets

Every notebook, script and practice dataset used in class is shared, plus practice assignments per module.

💼

Interview & resume prep

Week 10 is dedicated to PySpark/SQL scenarios, architecture questions, resume framing and mock interviews.

🤖

AI-assisted engineering

Claude Code, Copilot and prompt patterns applied to real ETL, SQL and debugging work — a 2026 differentiator.

💬

Direct trainer access

Small batches, WhatsApp group support and doubt-clearing with Venu himself — not a support desk.

🗺️ 10-Week Roadmap

Where you will be, week by week

Both tracks start from the same PySpark and Databricks foundation, then branch into their own cloud stack from Week 3.

Week 01

☁️ AWS: PySpark & Databricks Foundations

🔷 Azure: PySpark & Databricks Foundations
Week 02

☁️ AWS: Advanced Spark Data Processing

🔷 Azure: Advanced Spark Data Processing
Week 03

☁️ AWS: AWS Storage & Integration

🔷 Azure: Azure Storage & Azure Data Factory
Week 04

☁️ AWS: AWS Glue Advanced & End-to-End Project

🔷 Azure: ADF Advanced, Security & End-to-End Project
Week 05

☁️ AWS: Delta Lake & Databricks Optimization

🔷 Azure: Delta Lake, Medallion & Databricks Optimization
Week 06

☁️ AWS: AWS Orchestration & Databricks Deployment

🔷 Azure: Databricks Engineering, Deployment & Governance
Week 07

☁️ AWS: Streaming on AWS

🔷 Azure: Streaming on Azure
Week 08

☁️ AWS: Airflow, Testing & Performance

🔷 Azure: Airflow, Testing, Observability & Spark Performance
Week 09

☁️ AWS: AWS Analytics & BI

🔷 Azure: Microsoft Fabric & OneLake
Week 10

☁️ AWS: AI-Assisted Engineering & Interview Prep

🔷 Azure: AI-Assisted Engineering, CI/CD & Interview Preparation
🚀 Reserve Your Seat

Which batch do you want — AWS or Azure?

Fill this in and Venu will call or WhatsApp you with the joining link, fee details and the demo class invite. Takes 30 seconds.

We never share your number. You will get a call or WhatsApp message within a few hours — or reach us right away on WhatsApp.

👨‍🏫 Your Trainer

Learn directly from Trainer Venu

Trainer Venu Katragadda — Databricks and data engineering trainer

Venu Katragadda

Founder, Sreyobhilashi IT · 14+ years in Big Data & Cloud Data Engineering

Venu has trained 1200+ working professionals on Spark, Databricks, AWS and Azure, and still teaches every session himself — no junior trainers, no recorded-only classes. Sessions are built around what actually breaks in production: skewed joins, failing streams, schema drift, cost blow-ups and the interview questions that follow.

PySpark & Spark internalsDatabricks & Delta LakeAWS Glue · EMR · Kinesis Azure ADF · FabricKafka & Structured StreamingAirflowCI/CD with DABsClaude Code for DE
⭐ Google Reviews

What Our Students Say

Real, verified reviews from data engineers who trained with Venu — on Databricks, AWS, Azure, PySpark and streaming.

4.9
★★★★★
Based on 200+ Google reviews
★★★★★

“Recently took Databricks classes with Venu to upskill in trending technologies, and the experience exceeded all expectations. While I initially sought guidance only on Databricks, Venu provided in-depth training across the entire ecosystem — AWS, Kafka, NiFi, Airflow and PySpark.”

AZ
Abhishek Zararia
Databricks · Cleared DE Professional Cert
✅ Verified Google Review
★★★★★

“I had a truly valuable experience with Venu's Spark training along with AWS & Azure Databricks Training. He is highly knowledgeable, and the sessions are very well structured with extensive hands-on coverage.”

DM
Dhevipriya Marimutbhu
AWS & Azure Databricks Training
✅ Verified Google Review
★★★★★

“This training has exceeded my expectations. Venu explains concepts clearly and uses hands-on examples that make the content easy to understand. I am learning a lot and would definitely recommend it.”

NL
Pataballa N V Lakshminarayana
Databricks Training
✅ Verified Google Review
★★★★★

“I recently completed the Data Engineering course on Databricks and AWS. Venu Sir delivers instruction at the next level, focusing on high-performance learning. He explains every concept clearly and thoroughly, with practical examples.”

MM
Mahaboob Mulla
Databricks & AWS Training
✅ Verified Google Review
★★★★★

“Venu sir has explained end to end streaming project, data cleansing, and parsing various source data. This has helped me in my project work. The explanation on Spark architecture and other key concepts helped me understand Spark deeply.”

NS
Nimisha Shah
Databricks Streaming
✅ Verified Google Review
★★★★★

“I had a truly valuable experience with Sreyobhilashi's AWS & Azure Databricks Training & Placement Program. Hands-on coverage of Spark, Kafka, Flink, NiFi, Airflow, Azure and Snowflake.”

NT
Naveen Kumar Tavva
AWS & Azure Databricks Training
✅ Verified Google Review
★★★★★

“Good training. Venu sir really puts a lot of effort into training — all concepts taught in detail, and a lot of practice docs are given. I recommend this training to all; it will be worth it.”

SG
Sheetal Guruji
Databricks Training
✅ Verified Google Review
★★★★★

“Finally I found one of the best trainers. I took the Data Engineer course here. Venu provides completely practical-oriented training and explains each concept in depth with real-time scenarios.”

ND
Narendra Divvela
Data Engineering Course
✅ Verified Google Review
★★★★★

“Very good institute for learning Spark. If you want to learn Spark with AWS in less time, you must join here.”

KS
Kamakhya Sahu
Spark & AWS Training
✅ Verified Google Review
★★★★★

“I took Databricks training with AWS from Venu. He explains the concepts very nicely. I recommend this training.”

TT
Titili
Databricks & AWS Training
✅ Verified Google Review
★★★★★

“The way he explains the subject is very easy to understand. Not only the theory part — he explains the projects in a way that is easily understandable. The sessions are interactive.”

PP
Praveen P
Spark & PySpark Training
✅ Verified Google Review
★★★★★

“Venu Sir has deep knowledge in Big Data and Spark technologies. I am quite satisfied with the training and would recommend anyone who wants to take training on PySpark.”

RM
Rajanikanta Mohanty
PySpark & Big Data Training
✅ Verified Google Review
💼 Where Our Students Work

Alumni placed across 50+ companies

A few of the organisations our students have joined or been promoted within after training.

AmazonMicrosoftTCSInfosysWiproDeloitteCognizantCapgeminiHCLIBMAccentureTech Mahindra
❓ FAQ

Questions before you join

When exactly does the new batch start?

The next batch starts on Wednesday, 16 September 2026. The AWS track runs 8:00–9:30 AM IST and the Azure track runs 6:00–8:00 AM IST, Monday to Friday. Weekend masterclasses are scheduled separately and announced in the batch group.

Should I join the AWS batch or the Azure batch?

Both tracks teach the same Databricks core — PySpark, Delta Lake, medallion architecture, Unity Catalog, streaming, orchestration, performance tuning and CI/CD. Choose AWS if your target roles mention S3, Glue, Lambda, Kinesis or Redshift; choose Azure if they mention ADF, ADLS Gen2, Synapse, Event Hubs or Microsoft Fabric. If you are unsure, select “Not sure” on the form and Venu will advise you.

Is this suitable for beginners?

Yes. Week 1 and Week 2 build PySpark and Databricks foundations from the ground up — Spark architecture, DataFrames, window functions, regex cleaning and spark-submit internals — before any cloud service is introduced in Week 3. Basic SQL and some Python help, but no prior cloud experience is required.

What if I miss a live class?

Every session is recorded and shared the same day. You can catch up and rewatch topics any time during the course, and ask doubts in the batch group or the next live session.

Do I get hands-on cloud and Databricks access?

Yes. You work in a real AWS or Azure environment along with a Databricks workspace, and build all 5 projects yourself. Setup is walked through in class.

What about placement and interview support?

Week 10 is dedicated to interview preparation — PySpark and SQL scenarios, architecture explanations, streaming and performance troubleshooting, plus resume and project framing. We also run a mock interview clinic as a weekend masterclass, and 1200+ students have been placed so far.

How do I know the fee and payment options?

Fee, EMI and early-bird details are shared on the call or WhatsApp after you submit the form — or message us directly on WhatsApp for an instant reply.

Can I attend a free demo before paying?

Yes. Join the first session as a demo class, see the teaching style and the depth of content, and decide afterwards. Mention “demo” in the form message box.

Seats close when the batch fills

Batches are kept small so every student gets live doubt-clearing and lab help. Reserve your seat for the 16 September 2026 batch today.

Chat with Venu
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