Data Engineering (Azure)

Course Overview

The Data Engineering (Azure) program equips you with the skills to design, build, and manage large-scale data pipelines using Microsoft Azure's powerful ecosystem. You will learn to ingest, transform, and serve data across the entire data lifecycle using industry-standard tools.

This program is ideal for those looking to enter one of the fastest-growing and highest-paying domains in the IT industry - Data Engineering on cloud platforms.

What You'll Learn

Azure Cloud Fundamentals
Azure Data Factory (ADF)
Azure Databricks & PySpark
Synapse Analytics
Data Lake & Delta Lake
SQL & Data Modeling

Program Highlights

Azure Hands-On Labs
End-to-End Pipeline Projects
Expert Data Engineers as Trainers
Placement Support

Course Curriculum

Module 1: Python & SQL Foundations▾

Python for Data Engineering
SQL – Advanced Queries & Optimization
Data Structures & File Formats (CSV, JSON, Parquet)

Module 2: Azure Cloud Fundamentals▾

Azure Portal & Resource Groups
Azure Storage (Blob, ADLS Gen2)
Azure Active Directory & Security
Cost Management & Optimization

Module 3: Azure Data Factory (ADF)▾

ADF Architecture & Components
Pipelines, Datasets & Linked Services
Data Flows & Transformations
Triggers & Monitoring
Integration Runtime

Module 4: Azure Databricks & PySpark▾

Databricks Architecture & Cluster Setup
PySpark DataFrames & RDDs
Spark SQL & Optimizations
Delta Lake & ACID Transactions
Streaming with Structured Streaming

Module 5: Azure Synapse Analytics▾

Synapse Workspace Overview
Dedicated & Serverless SQL Pools
Data Warehousing Concepts
PolyBase & External Tables
Power BI Integration

Module 6: Data Architecture & Best Practices▾

Medallion Architecture (Bronze/Silver/Gold)
Data Modeling for Data Warehouses
Performance Tuning & Best Practices
End-to-End Pipeline Project

Tools & Technologies

Microsoft Azure

Azure Data Factory

Azure Databricks

PySpark

Synapse Analytics

Azure SQL

ADLS Gen2

Delta Lake

SQL

Python

Power BI

Real-Time Projects

Retail Sales Data Pipeline

End-to-end data pipeline ingesting sales data from multiple sources, transforming with PySpark, and loading to a data warehouse for reporting.

Healthcare Analytics Platform

Build a medical data lake with ADF, process patient records with Databricks, and expose curated datasets via Synapse SQL pools.

Real-Time Event Streaming

Implement streaming ingestion using Azure Event Hubs and Structured Streaming with Databricks for real-time analytics.

Who Can Enroll

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Software developers looking to transition into data engineering

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Database administrators wanting cloud skills

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Fresh graduates with Python and SQL knowledge

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IT professionals seeking Azure certifications and upskilling

Placement Support

Resume BuildingATS-optimized resumes highlighting Azure skills and project experience.

Mock InterviewsTechnical interview prep covering PySpark, ADF, SQL, and cloud architecture questions.

Company ReferralsDirect connections to companies hiring Azure Data Engineers.