📋 Quick Enquiry:
Live Online Training — New Batches Starting
Master Azure Data Engineering — ADF, Synapse, ADLS & Databricks
Become a certified Azure Data Engineer — master ADF pipelines, ADLS Gen2 data lakes, Synapse Analytics, Azure Databricks, and Event Hubs streaming with Trainer Venu. Includes DP-203 certification prep.
No prior experience needed
7-day money-back guarantee
Placement support included
₹22,000
₹35,000
Save 13k
✅ Demo Booked!
Trainer Venu's team will call you within 2 hours.
📋 Register for Free Demo
🎥 Live Online + Recorded Sessions
🔷 Real Azure Subscription Labs
📂 4 End-to-End Projects
📜 DP-203 Certification Prep
🤝 Placement Support
♾️ Lifetime Recording Access
✅ Free Demo Before Enroll
Who Is This For
Is This Course Right For You?
🔷
Azure Cloud Engineers
Build enterprise data pipelines using ADF, ADLS, Synapse and Databricks.
🗄️
ETL / SQL Developers
Migrate from SSIS/on-premise ETL to Azure Data Factory and Synapse.
🔥
Databricks Engineers
Add Azure-native tools (ADF, Synapse) to your Databricks skill set.
🎓
Freshers
Target high-paying Azure data engineering roles — DP-203 certification included.
📊
BI / Power BI Developers
Move up to data engineering using Azure Synapse and ADLS.
🏢
Solution Architects
Design enterprise Lakehouse platforms on Azure for large organizations.
Tools Covered
🔷 Azure Data Factory
🏔️ ADLS Gen2
🏗️ Azure Synapse Analytics
🔥 Azure Databricks
📨 Azure Event Hubs
📊 Azure Stream Analytics
🔍 Azure Purview
🔐 Azure Key Vault
⚙️ Azure Functions
📬 Azure Service Bus
❄️ Snowflake on Azure
🗂️ Unity Catalog
🐍 PySpark
📜 DP-203
Course Curriculum
12 Modules — Key Concepts
Here are the core topics you'll master. Each module includes hands-on labs with real Azure Data Engineering access.
Module 01
ADLS Gen2 Data Lake
- Hierarchical namespace — containers and directories
- RBAC and ACL — fine-grained access control
- Azure Lifecycle Management policies
- Integration with ADF, Synapse, Databricks
- Data formats: Parquet, Delta, CSV on ADLS
Module 02
Azure Data Factory (ADF)
- Pipelines, Activities, Datasets, Linked Services
- Copy Activity — 90+ source/sink connectors
- Data Flow — visual ETL with Spark execution
- Triggers — Schedule, Tumbling Window, Event
- Integration Runtime — Azure, Self-hosted, SSIS
Module 03
Azure Synapse Analytics
- Synapse Workspace — unified analytics platform
- Dedicated SQL Pool vs Serverless SQL Pool
- Spark Pool — PySpark notebooks in Synapse
- Synapse Pipelines — ADF built into Synapse
- Synapse Link — operational analytics from Cosmos DB
Module 04
Azure Databricks
- Databricks on Azure — Unity Catalog integration
- Delta Lake on ADLS Gen2
- ADF → Databricks notebook activity
- Databricks Auto Loader from Event Hubs/ADLS
- Databricks SQL & BI dashboards
Module 05
Azure Event Hubs & Streaming
- Event Hubs — managed Kafka on Azure
- Event Hubs Capture — auto-save to ADLS/Blob
- Azure Stream Analytics — SQL on streaming data
- Event Hubs → ADF → Synapse real-time pipelines
- IoT Hub — device data ingestion
Module 06
Azure Purview & Governance
- Azure Purview — enterprise data catalog
- Data lineage across ADF, Synapse, ADLS
- Business glossary and data classification
- Sensitive data scanning and labeling
- Integration with Unity Catalog
Module 07
Microsoft Fabric
- Fabric Lakehouse — OneLake, Lakehouses, Warehouses
- Data Factory in Fabric — pipelines and dataflows
- Fabric Notebooks — PySpark on OneLake
- Real-Time Analytics — KQL databases and Eventstreams
- Power BI integration — DirectLake mode
Module 08
Delta Lake Advanced
- Delta Lake ACID transactions on ADLS Gen2
- Time Travel — versioning and rollback
- MERGE (Upsert) — SCD Type 1 & Type 2 patterns
- Z-Ordering and OPTIMIZE for query performance
- Change Data Feed (CDF) for incremental processing
Module 09
ADF Advanced Patterns
- Dynamic pipelines — parameterized datasets and linked services
- Metadata-driven ingestion framework
- ADF + Databricks notebook orchestration
- Incremental load — watermark and CDC patterns
- CI/CD with Azure DevOps for ADF
Module 10
Databricks Advanced on Azure
- Delta Live Tables (DLT) — declarative ETL pipelines
- Databricks Workflows — job orchestration
- MLflow on Databricks — experiment tracking
- Structured Streaming with Auto Loader
- Performance tuning — adaptive query, photon engine
M01
Azure Fundamentals for Data Engineers
⏱️ 4 Hours● Beginner
▾
Azure portal, subscriptions, resource groups
IAM — RBAC roles and service principals
Azure Key Vault — secrets management
Azure CLI and PowerShell for data engineers
VNet, subnets, private endpoints for data services
Azure Monitor — metrics and alerts
🔬 Azure Environment Setup📝 Quiz: Azure Fundamentals
M02
ADLS Gen2 — Azure Data Lake
⏱️ 5 Hours● Beginner
▾
ADLS Gen2 vs Blob Storage — differences
Hierarchical namespace — containers, directories
ACLs vs RBAC — access control patterns
Lifecycle management — hot, cool, archive tiers
SAS tokens and managed identities
Integration with ADF, Synapse, Databricks
🔬 Data Lake Setup & Access Control
M03
Azure Data Factory (ADF)
⏱️ 10 Hours● Intermediate
▾
ADF architecture — pipelines, activities, datasets
Linked Services — 90+ connectors
Copy Activity — source to sink patterns
Data Flows — visual Spark ETL transformations
Mapping Data Flow — joins, aggregations, pivots
Integration Runtime — Azure vs Self-hosted
Triggers — Schedule, Tumbling Window, Storage Event
ADF monitoring and alerting
Git integration for ADF DevOps
🔬 ADLS→ADF→Synapse Pipeline🔬 Incremental Load with Watermarks🏗️ Project: Full ADF Data Pipeline
M04
Azure Synapse Analytics
⏱️ 9 Hours● Intermediate
▾
Synapse Workspace — unified analytics
Dedicated SQL Pool — MPP data warehouse
Serverless SQL Pool — on-demand S3/ADLS queries
Spark Pool — PySpark notebooks
Synapse Pipelines — built-in ADF
PolyBase — query external data
Synapse Link — operational analytics
COPY INTO vs PolyBase performance
Synapse Purview integration
🔬 Synapse Data Warehouse Build🏗️ Project: Synapse Analytics Platform
M05
Azure Databricks on Azure
⏱️ 8 Hours● Intermediate
▾
Databricks on Azure setup — workspace, clusters
ADLS Gen2 mount with managed identities
Delta Lake on ADLS Gen2
Unity Catalog with Azure AD integration
ADF → Databricks notebook activity
Auto Loader from ADLS/Event Hubs
Databricks SQL — BI dashboards
Cost optimization on Azure Databricks
🔬 Databricks on Azure Lab🏗️ Project: Lakehouse on Azure
M06
Azure Event Hubs & Streaming
⏱️ 7 Hours● Advanced
▾
Event Hubs — managed Kafka, partitions, consumer groups
Event Hubs Capture — ADLS/Blob delivery
Event Hubs SDK — producer and consumer
Azure Stream Analytics — SQL on streams
Stream Analytics windowing — tumbling, hopping, session
IoT Hub — device-to-cloud messaging
Event Hubs → ADF → Synapse real-time pipeline
🔬 Event Hubs Streaming Lab
M07
Azure Functions & Orchestration
⏱️ 6 Hours● Advanced
▾
Azure Functions — serverless event-driven ETL
Function triggers — Timer, Event Hubs, Blob, HTTP
Durable Functions — workflow orchestration
Logic Apps — low-code integrations
ADF vs Synapse Pipelines vs Airflow
Azure Service Bus — message queuing
Cost optimization — consumption vs premium plans
🔬 Serverless ETL with Functions
M08
Azure Purview & Data Governance
⏱️ 4 Hours● Advanced
▾
Azure Purview — enterprise data catalog
Automated scanning and classification
Data lineage — ADF→ADLS→Synapse tracking
Business glossary and stewardship
Sensitive data — GDPR, PII identification
Integration with Unity Catalog
Microsoft Purview vs Open-source alternatives
📝 Quiz: Data Governance
M09
Projects & DP-203 Certification Prep
⏱️ 12 Hours● Advanced
▾
Project 1 — Batch: ADLS → ADF → Synapse → Power BI
Project 2 — Streaming: Event Hubs → Stream Analytics → ADLS
Project 3 — Lakehouse: Databricks + Delta Lake on ADLS
Project 4 — Full Platform: ADF + Synapse + Purview + Databricks
DP-203 Azure Data Engineer Associate exam prep
100+ practice questions with explanations
Resume and LinkedIn for Azure roles
🏗️ 4 Real Azure Projects📝 DP-203 Mock Tests
M10
Microsoft Fabric for Data Engineers
⏱️ 8 Hours● Advanced
▾
OneLake — unified data lake across Fabric
Fabric Lakehouse vs Warehouse — when to use
Data Factory in Fabric — Dataflow Gen2
Fabric Notebooks — PySpark and Spark SQL
Fabric Real-Time Analytics — KQL databases
Eventstreams — real-time event ingestion
Power BI DirectLake — no-import dashboards
Fabric vs Azure Synapse — migration strategies
🔬 Fabric Lakehouse Lab🏗️ Project: End-to-End Fabric Pipeline
M11
Delta Lake Advanced on Azure
⏱️ 6 Hours● Advanced
▾
Delta Lake ACID transactions deep dive
Time Travel — query historical versions
MERGE INTO — SCD Type 1, Type 2, Type 3
Z-Ordering, OPTIMIZE, VACUUM
Change Data Feed (CDF) for CDC pipelines
Delta Sharing — cross-org data sharing
Liquid Clustering — next-gen partitioning
🔬 Delta Lake CDC Lab🔬 Performance Tuning Lab
M12
ADF Advanced & CI/CD
⏱️ 6 Hours● Advanced
▾
Dynamic pipelines — parameterized everything
Metadata-driven ingestion framework
ADF + Databricks notebook orchestration
Incremental load with watermarks and CDC
CI/CD with Azure DevOps for ADF
ARM template deployment and Git integration
Error handling, retry policies, alerting
🔬 Metadata-Driven Pipeline🏗️ Project: ADF CI/CD Pipeline
Career Outcomes
Azure Data Engineering Professionals Earn Top Salaries
Azure Data Engineers are in extremely high demand across India. ADF + Synapse + Databricks is the most sought-after skill combination for data roles at top MNCs.
Entry Level
₹10–18 LPA
0–2 Years
Mid Level
₹18–35 LPA
2–5 Years
Senior Level
₹35–70+ LPA
5+ Years
Student Success Stories
1200+ Professionals Placed at Top Companies
★★★★★
"The ADF Data Flows and Synapse Analytics modules were the best I've seen. Trainer Venu explained complex concepts with real examples. Got placed at HCL!"
MS
Meera Sharma
SQL Dev → Azure Data Engineer
✅ HCL · ₹21 LPA
★★★★★
"I cleared the DP-203 exam in my first attempt! The certification prep in Module 9 was thorough and well-structured. Now working at Capgemini!"
RT
Ravi Teja
ETL Dev → Azure Engineer
✅ Capgemini · ₹18 LPA
★★★★★
"As a Power BI developer, this course helped me move into data engineering. The ADF and ADLS labs were very hands-on. Placed at TCS!"
PN
Preethi Nair
BI Dev → Data Engineer
✅ TCS · ₹14 LPA
FAQs
Frequently Asked Questions
Does this course cover the DP-203 Azure Data Engineer exam? ▾
Yes! Module 9 has dedicated DP-203 exam preparation with 100+ practice questions, mock tests, and proven exam strategies. Many of our students have cleared the exam.
Do I need an Azure subscription for the labs? ▾
Yes — you need an Azure account (free tier is sufficient for most labs). We guide you through setup, and most lab costs are minimal with the free $200 credit.
What is the difference between ADF and Synapse Pipelines? ▾
ADF is standalone; Synapse Pipelines is ADF built into Synapse Analytics. We cover both in depth, explaining when to use which for enterprise scenarios.
Is Azure Databricks covered in this course? ▾
Yes — Module 5 is dedicated to Azure Databricks: workspace setup, Delta Lake on ADLS, Unity Catalog with Azure AD, and ADF→Databricks integration.
What salary can I expect after certification? ▾
Entry level: ₹10–18 LPA. Mid-level: ₹18–35 LPA. Azure Data Engineers with DP-203 and Databricks experience are among the highest-paid professionals in India.