Your First Step to a Career in Azure Data Engineering
Build scalable data pipelines, work with big data systems, and become the backbone of modern data-driven companies.
Learn Data Engineering from scratch with real-time projects, industry tools, and job-ready skills – even if you are a fresher or from a non-IT background.
100% Live
Training
2 Years
Recordings
Free
Addon Sessions
Real Time
Projects
The Data-Driven Career You Deserve
Hiring Demand
Data Engineers are among the most in-demand roles across startups, MNCs, and product-based companies.
Salary Growth
High-paying role with consistent growth due to increasing demand for data infrastructure.
Career Roles
Data Engineer, Big Data Engineer, ETL Developer, Cloud Data Engineer.
Future-Proof Skills
Work on cloud, big data, real-time streaming, and modern data platforms.
Global Opportunities
Strong demand in India, USA, Europe, and Middle East markets.
Real Projects
Hands-on projects that simulate real enterprise data pipelines.
Companies That Want to Hire You
The Data Science Course That Solves Your Struggles
Career Confusion
- Unsure which data role to choose
- Clear Data Engineer career roadmap
Coding Fear
- Step-by-step coding from basics
Too Many Tools
- Confused by too many tools
- Industry-relevant tool stack
Interview Stress
- No confidence in interviews
- Strong project-based preparation
No Portfolio
- Resume looks empty!
- Build 7+ end-to-end projects with datasets & AI integration.
What Makes This Course Your Competitive Advantage
👉 Module Wise Quizzes, Assignments, and Practice Questions
👉 100% Placement assistance
👉 Industry professionals with 10+ years of experience
👉 Live Chat support assistance
👉 Access to session recordings for 2 years
👉 EMI Option also available with specified cards
👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions
👉 Dedicated Job Updates
👉 100% Live Training in Telugu
👉 Industry Ready Training
👉 Interview Questions & Study Materials
👉 Resume & Linked In Preparation
Your Roadmap to Azure Data Enginner Course
1. Data Engineering Introduction
What is data engineering
Introduction to Azure
Comparison of Azure vs AWS Data Engineering services
Bigdata introduction
2. Python Basics (Operators & Control Flow)
Type Casting
Python Operators
Arithmetic Operators
Relational Operators
Logical Operators
Bitwise Operators
Assignment Operator
Python Flow Control & Loops
if, if else, if else if
while, do while loops
for loops
3. Python Functional Programming
Function Declarations
Calling Functions
Functions Call-by-Name
Functions with Named Arguments
Functions with Variable Arguments
Functions with Default Parameter Values
Lambda Functions
4. Python Collections & File Handling
Lists
Tuples
Sets
Dictionaries
Python Files I/O
Reading input from console
Reading data from Files
Writing data to Files
5. Python Object-Oriented Programming
- Python Classes
Simple class
Class objects
Inheritance
6. Azure Basics
What is Azure and Cloud
How to Create a Resource Group in Azure
Services Offered in Azure
Azure Portal Walk Through
SDKs or Tools for Azure Resources
Create Free Azure Subscription
7. Python Overview & Setup
History & features of Python
Python vs Other Programming Languages
First Python Program
Python basic syntax
Python Development Tools & Packages
Python Environment Setup
Installing Python
Verify & Setup Python environment
Python DataTypes
Variables
Data Types
Strings
8. Apache Spark Fundamentals
Spark Introduction
Spark Overview
Spark features
Spark vs Hadoop MapReduce
Programming Language choices in Spark
Spark History
Spark use cases
9. Spark Architecture & Core
Spark Components or modules
Spark Core
Spark SQL
Spark Streaming
Spark Architecture
Spark Application flow
Spark Driver, Executors
Spark Context, Spark Session
Spark execution modes
Standalone cluster mode
Spark on YARN mode
10. Spark RDD & Data Processing
RDD Features
Creating RDDs
Data Manipulation using RDDs
Transformations & Actions
Aggregations, Joins
Memory Management
Accumulators, Broadcast variables
11. Spark DataFrames & SQL
DataFrames basics
Creating DataFrames
Schemas
DataFrame Operations
Aggregations DataFrames
Joins using DataFrames
Data Sources (CSV, JSON, Parquet, ORC, SQL DB, Text)
Spark SQL
User-Defined Functions
Spark SQL integration with Hive
12. PySpark & Streaming
PySpark Tools (PyCharm, Jupyter, Zeppelin, etc.)
Executing PySpark Applications
Spark UI & Monitoring
Spark Streaming
Batch vs Streaming
DStreams
Structured Streaming
Event Time
Stateful processing
13. Azure Data Services
Azure Data Lake & Storage
Azure Key Vault
Azure Data Factory
Pipelines, Activities
Triggers
Integration Runtime
Mapping Data Flows
Transformations
Azure Synapse Analytics
Azure Databricks
14. Advanced Topics & Modern Data Stack
Delta Lake (Architecture, Time Travel, Merge, etc.)
Microsoft Fabric
Databricks Genie (AI Assistant)
AI Data Agents & Conversational Analytics
Real-World Projects That Get You Hired
1. Customer Churn Data Pipeline using Azure Data Factory and Databricks
Built a pipeline to ingest, transform, and analyze customer data to identify churn patterns and generate actionable business insights.
2. Inventory Stock Monitoring Pipeline using Azure Data Engineering
Designed a scheduled pipeline to process inventory data, track stock levels, and provide visibility into shortages across locations.
3. End-to-End Implementation – Pharmacy Sales
Developed an end-to-end data solution using Medallion architecture to transform pharmacy sales data into analytics-ready datasets.
4. End-to-End Implementation – Retail Sales Analytics
Built a scalable analytics pipeline to process retail sales data and generate insights for performance tracking and business decisions.
5. End-to-End Healthcare Data Engineering Project using Microsoft Fabric
Designed a healthcare data platform to ingest, transform, and visualise hospital data using Microsoft Fabric for analytics and insights.
Watch the Demo of Our Azure Data Engineer Course in Telugu to Get a Preview of the Topics Covered.
Stories That Prove Your Success
Your Future in Azure Data Engineer
Freshers
Junior Azure Data Engineer – ₹4–8 LPA
SQL / ETL Developer (Entry Level) – ₹3.5–6 LPA
Azure Data Analyst – ₹4–7 LPA
Python Developer (Data Focused) – ₹4–7 LPA
Data Engineering Trainee – ₹3–5 LPA
Intern / Azure Data Associate – ₹2–4 LPA
Experienced
Azure Data Engineer – ₹8–18 LPA
Senior Data Engineer (Azure) – ₹12–25 LPA
Azure Data Architect – ₹18–35 LPA
Big Data Engineer (Azure + Spark) – ₹10–22 LPA
Data Engineering Consultant – ₹12–28 LPA
Freelance Azure Data Engineer – ₹1L–3L per month (project-based)
Your Path to Mastery with This Azure Data Engineer
- Time : 7:30PM - 8:30PM , 3+ Months Duration
- Start Date: 23rd April 2026
Unlock Your ₹10,000 Career-Ready Bonus
Resume Building
Create strong resumes with expert guidance.
Job Updates
Get access to latest openings & hiring alerts.
Interview Prep
Mock interviews and communication training.
LinkedIn Boost
Optimize your LinkedIn for visibility.
Career Transition
Guidance to shift domains or roles confidently.
Freelancing
Learn how to start and grow as a freelancer.
Our Results Speak for Themselves
At Frontlines Edutech, we don’t just teach we transform careers. Our Azure Data Engineer Course is designed to give you the practical skills and confidence needed to not only land a job but also excel in your chosen field.
Frequently Asked Questions
1. What is Azure Data Engineering?
Azure Data Engineering involves designing, building, and managing data pipelines using Microsoft Azure services like Data Factory, Databricks, and Synapse to process and analyze large datasets.
2. Who can enroll in this course?
This course is suitable for beginners, software professionals, data analysts, and anyone interested in building a career in data engineering with Azure.
3. What are the prerequisites for this course?
Basic knowledge of programming (preferably Python) and databases is helpful, but not mandatory as fundamentals are covered from scratch.
4. What projects will I work on during the course?
You will work on real-time projects like customer churn analysis, inventory monitoring pipelines, retail analytics, and healthcare data engineering solutions.
5. What job roles can I apply for after this course?
You can apply for roles such as Azure Data Engineer, Data Analyst, Big Data Engineer, and ETL Developer in top IT companies.
6. Will I get hands-on experience with real tools?
Yes, the course provides hands-on training with Azure Data Factory, Databricks, Data Lake, Synapse, and Microsoft Fabric through real-world projects.
Get Certified
Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.
Approved by AICTE
Certified by ISO 21001:2018
Recognized by Startup India
Registered under MSME
