AZURE DATA ENGINEER PROGRAM

Build Cloud Data Pipelines. Master Azure Data Engineering.

Our Azure Data Engineer Course in Pune teaches you to design, build and maintain scalable cloud data solutions — Azure Data Factory, Synapse Analytics, Spark, real-time pipelines and ETL workflows, all through hands-on labs and capstone projects.

Azure SQL Spark Data Factory Synapse Pipelines
✓ Cloud-Native Design ✓ Real ETL Pipelines ✓ Certification Ready ✓ Azure Certified

Why Technogeeks X AI

Industry-ready Azure training with hands-on labs and proven job placement.

Cloud-First Curriculum

Every module builds around Azure services and cloud data architecture patterns.

Real Production Pipelines

Build end-to-end ETL solutions mirroring enterprise data workflows.

Industry Experts

Learn from Azure-certified professionals with hands-on cloud experience.

Live Lab Environment

Access to real Azure sandbox with all data services provisioned.

AZ-600 Exam Prep

Complete exam preparation included to land your Azure Data Engineer certification.

Career Launchpad

3000+ professionals placed in cloud roles across enterprises.

Real skills, not just certificates

By the end of this course, you'll design and deploy production-grade data solutions on Azure.

01 Data_Ingestion

Ingest

Stream and batch data from multiple sources into Azure cloud.

02 Transform

Transform

Process and enrich data using Spark and SQL pipelines.

03 Analytics

Analyze

Build analytics solutions with Synapse and query engines.

04 Monitor

Monitor

Implement logging, alerting and pipeline orchestration.

Everything an Azure Data Engineer needs

One connected toolkit — each skill taught in the context of real cloud architectures.

AZURE
DATA ENGINEER
  • Azure
  • SQL
  • Spark
  • Data Factory
  • Synapse
  • ETL Design
  • Pipelines
  • Real-Time
  • Data Lake
  • Azure DevOps

From raw data to production pipeline

Every project follows the same workflow that enterprise data engineers use daily.

  1. 01

    Ingest

    Data Factory · Event Hub · Blob

  2. 02

    Validate

    Schema · Quality Checks · Logging

  3. 03

    Transform

    Spark · T-SQL · Data Flow

  4. 04

    Aggregate

    Synapse · Data Lake · Partitioning

  5. 05

    Optimize

    Indexing · Cost · Performance

  6. 06

    Monitor

    Alerts · Dashboards · DevOps

Capstone projects you'll build

Enterprise-grade data pipelines that you'll showcase in interviews and portfolios.

Real-Time Sales Pipeline

Problem — Ingest sales transactions from 50+ stores in real-time.

Architecture — Event Hub → Data Lake → Synapse Analytics.

Outcome — 500K+ events/day processed with <2s latency.

Azure Data FactoryEvent HubSparkSQL

Data Lake Consolidation

Problem — Consolidate customer data from legacy systems to cloud.

Architecture — On-prem databases → Data Factory → ADLS → Bronze/Silver/Gold.

Outcome — 10TB migrated with zero downtime.

Azure Data LakeSynapseETLPartitioning

Dynamic Data Warehouse

Problem — Build automated data warehouse from multiple APIs.

Architecture — REST APIs → Logic Apps → Data Factory → Synapse DW.

Outcome — Self-service BI with daily automated refresh.

Logic AppsSynapse DWPipelinesAutomation

Five phases, one connected program

Complete Azure Data Engineer curriculum organized into progressive learning phases.

Cloud concepts, Azure services overview, T-SQL and relational database design — the foundation for all cloud data engineering.

Data Factory, source connectors, copy activities and data movement patterns from on-prem, APIs and cloud sources.

Apache Spark, PySpark, Data Flows and transformation pipelines for processing big data at scale.

Synapse Analytics, dedicated and serverless SQL pools, data warehouse design and MPP architecture.

Pipeline monitoring, alerting, logging, performance tuning and end-to-end capstone project deployment.

Azure Certified Professional

Course completion + AZ-600 exam prep gets you job-ready.

  1. Production-ReadyAwarded after building and deploying real pipelines in Azure sandbox.
  2. LinkedIn & ResumeAdd to professional profiles and verified badge on LinkedIn.
  3. Exam VoucherAzure certification exam code included in course.
  4. Industry-TrustedRecognized by enterprises and Azure hiring partners.

Learn by building real pipelines

Every module pairs theory with hands-on labs in a live Azure environment.

Azure Data Lab
  1. Source DataCSV, APIs, databases or streaming data
  2. Pipeline DesignBuild copy and transformation activities
  3. TransformProcess data with Spark or SQL
  4. Load to DWAggregate into Synapse Analytics
  5. Monitor & TuneRun diagnostics and optimize performance

Hands-on with Microsoft Azure.

Access to live Azure sandbox with all services pre-configured for every lab.

Data Factory Synapse Data Lake Event Hub
Pipeline design ETL automation Real-time ingestion Spark clusters SQL optimization Data security Cost optimization

Where this course leads

step 1

Learn

Azure services, ETL design, SQL, Spark and cloud architecture.

step 2

Build

Build 3 capstone pipelines end-to-end in real Azure environment.

step 3

Certify

Prepare for and pass AZ-600 Azure Data Engineer exam.

step 4

Portfolio

Showcase pipeline projects on GitHub and Azure portfolio.

step 5

Launch

Apply for roles with interview prep and mentor support.

Data Engineer Cloud Engineer Analytics Engineer BI Developer

Support beyond the curriculum

Portfolio Dev

Portfolio Development

Build GitHub-hosted pipeline projects for hiring teams.

Mock Interviews

Mock Interviews

Azure-specific technical interview rounds with feedback.

Exam Prep

AZ-600 Exam Prep

Practice tests and exam strategy guide included.

Mentorship

Mentorship

1-on-1 guidance from Azure-certified data engineers.

Job Board

Job Board Access

Direct access to Azure data engineer openings.

Resume Review

Resume & LinkedIn

Data engineer resume templates and profile optimization.

Alumni at Leading Cloud Companies

Data engineers trained here now work at enterprises building cloud data platforms.

20000+Engineers Trained
70+Hiring Partners
4.8/5Average Rating
10+Years of Training

Course Snapshot

4 MonthsDuration
70+Training Hours
30+Hands-On Labs
2Capstone Projects
22Modules
Online / OfflineLearning Mode
YesCertification
YesExam Voucher

Azure Data Engineer Program

Frequently asked questions

A comprehensive program covering Azure data services, ETL pipeline design, Spark, Synapse Analytics and real-time data ingestion — aligned with AZ-600 certification.

Database admins, software engineers, data analysts and IT professionals transitioning to cloud data engineering.

Data Factory, Synapse Analytics, Data Lake Storage, Event Hub, Databricks, SQL Database and Azure DevOps.

Basic SQL knowledge helps, but Phase 01 covers T-SQL fundamentals for those starting from scratch.

Yes — Event Hub, Stream Analytics and Apache Kafka integration are core curriculum topics.

Yes — you get access to a live Azure sandbox for every lab, no simulation.

Yes — AZ-600 exam voucher and complete preparation materials are included in the program.

Portfolio guidance, mock interviews, LinkedIn optimization and direct job board access with placement support.

Yes — both live online and in-person (Pune) batches are available with flexible timings.

Yes — book a free counselling call above to attend a live demo session.

Start Your AI Journey

Launch Your Cloud Data Engineering Career.

Master Azure. Build pipelines. Get certified. Land the job.