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Azure Data Engineer — Build Pipelines on Microsoft's Cloud.

Industry-aligned curriculum. Real ETL pipelines. DP-203 certification ready in 10 weeks — taught by engineers who run Azure data platforms in production.

10 weeks Online + Offline Some SQL recommended
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Azure cloud data engineering visualization
Avg Salary
₹6–11 LPA
Demand in India
+42% YoY
Hiring
Accenture · Cognizant · HCL · Microsoft Partners · Capgemini
Curriculum

What You'll Learn

Eight modules, ten weeks — every topic taught against a live Azure subscription with real datasets.

  • Azure portal, CLI and PowerShell tour
  • Subscriptions, resource groups, RBAC
  • Regions, availability zones and pricing tiers
  • Azure Active Directory and identity
  • AZ-900 concepts mapped to data work
  • Blob, File, Queue and Table storage
  • ADLS Gen2: hierarchical namespace and ACLs
  • Hot, cool, archive — choosing the right tier
  • Partitioning strategies for Parquet at scale
  • Lifecycle policies and cost optimization
  • Linked services, datasets and pipelines
  • Copy activity, mapping data flows
  • Triggers: schedule, tumbling window, event
  • Parameterization and pipeline reuse
  • CI/CD with ADF and Azure DevOps
  • Synapse workspace, pools and pipelines
  • Dedicated SQL pool: distributions and indexes
  • Serverless SQL over data lake files
  • Synapse Notebooks with Spark
  • Query tuning and performance patterns
  • Databricks workspace and clusters
  • PySpark essentials: DataFrames, joins, UDFs
  • Delta Lake: ACID on data lakes
  • Notebook orchestration with workflows
  • MLflow tracking for data science workloads
  • Event Hubs vs Service Bus vs IoT Hub
  • Stream Analytics queries and windows
  • Hot path vs cold path architectures
  • Output sinks: Power BI, ADLS, SQL
  • Building a real-time KPI dashboard
  • Managed identities and Key Vault
  • Private endpoints and VNet integration
  • Azure Purview: catalog, lineage, classification
  • Row-level and column-level security
  • Cost monitoring and budget alerts
  • DP-203 domain-by-domain breakdown
  • Mock exams with timed simulations
  • Capstone: end-to-end ETL pipeline (raw → curated → BI)
  • Code reviews and trainer feedback
  • Resume rebuild and mock interviews
Meet Your Trainer

Taught by someone who ships, not just speaks.

SP

Sneha P.

Azure Data Engineer · 7+ Years

Seven years building Azure data platforms for retail and BFSI clients across Hyderabad and Bengaluru. Holds DP-203 and DP-300 certifications. Has shipped six data lakes into production and trained over 300 engineers now placed across Microsoft partners and product companies.

in · View on LinkedIn →
Tools & Technologies

The full cloud data toolkit, hands on.

Logos shown as text-style placeholders pending official permissions.

Azure Portal
ADF
Synapse
Databricks
Power BI
SQL Server
PySpark
Purview
Where You'll Land

Roles our Azure Data Engineer alumni step into.

Azure Data Engineer

₹6–11 LPA

Build and operate ETL pipelines, data lakes, and warehouses on Microsoft's cloud.

Cloud Data Architect

₹12–20 LPA

Design enterprise data platforms — pick the patterns, set the standards, mentor the team.

Data Pipeline Developer

₹6–10 LPA

Own daily ingestion and transformation jobs — reliable, observable, cost-efficient.

ETL Specialist

₹5–9 LPA

Move data between systems with quality, lineage, and SLAs the business actually trusts.

FAQ

Quick answers, no fluff.

Light SQL helps. We don't expect Python upfront — you'll learn enough PySpark for the role in modules five and six. Total non-coders: pair this with our Python course first.
Yes — a Sunadh completion certificate after the capstone, plus dedicated prep for the official Microsoft DP-203 (Azure Data Engineer Associate) certification.
We offer 100% placement assistance — interview prep, resume reviews, and intros to 500+ hiring partners. We don't promise a job, but we set you up to land one.
Course starts from ₹29,999. No-cost EMIs available across major banks. Talk to a counselor for the latest plan and any active discounts.
Yes. Every Azure batch runs hybrid — attend in classroom one week, online the next. Switch as your schedule needs, no extra fee.
Every session is recorded and shared the same evening. You can also sit in any other ongoing batch to recover that topic in person.
Yes — a full end-to-end pipeline from ADLS through Databricks to Synapse and Power BI by week ten. Goes straight on your resume and GitHub.
New weekday and weekend batches start every two weeks at both Ameerpet branches. Book a free demo and we'll share the next start date.