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
What is Azure Data Engineering?
Azure Data Engineering is the highest-paying backbone of the modern tech industry. While everyone is talking about Artificial Intelligence and Data Science, the reality is that AI cannot function without clean data. Data Engineers are the master builders who collect massive amounts of messy data from apps, websites, and IoT devices, and build the cloud pipelines that organize it for AI models and business leaders to use.
The Microsoft Azure Advantage
We focus exclusively on the Microsoft Azure cloud ecosystem, the top choice for Fortune 500 companies securely scaling their data infrastructure.
The Core Workflow (ETL)
You will master the art of ETL—Extracting data from raw sources, Transforming it into clean formats, and Loading it into massive Cloud Data Lakes.
Learn in Telugu
We break down complex cloud architectures, distributed computing (Spark), and coding logic into your regional language, making it incredibly easy for beginners and software professionals to master enterprise cloud systems.
Why Learn Azure Data Engineering in 2026?
Data Engineering is currently experiencing a massive hiring boom. If you want a future-proof, highly lucrative career in IT, this is the ultimate path.
The AI Revolution Needs You
Machine Learning and AI models require massive amounts of structured data to train. Data Engineers are the ones who build the pipelines to feed these AI systems.
The Great Cloud Migration
Every major bank, healthcare system, and e-commerce giant is moving their data from old, on-premise servers to the Cloud. They desperately need Azure experts to manage this transition.
Top-Tier Salaries
Because Data Engineering requires a unique blend of cloud knowledge and data architecture, it consistently ranks as one of the highest-paying roles in the IT sector, often paying more than traditional software development.
Massive Global Opportunities
Microsoft Azure is used globally. Your skills will be instantly recognized by massive MNCs, SaaS startups, and high-paying remote consulting firms worldwide.
The Enterprise Tech Stack You Will Master
We don’t just teach theory. We train you on the exact Big Data tech stack used by global enterprises:
SQL for Data Engineering
The foundational language. Master complex queries, joins, and database manipulation to manage raw data systems.
Python & PySpark
Learn Python basics and scale up to PySpark—the industry standard for processing massive, big data workloads efficiently.
Azure Data Factory (ADF)
Master cloud automation. Learn to build, schedule, and orchestrate complex ETL pipelines entirely in the cloud.
Azure Databricks & Apache Spark
Learn to process millions of rows of data in seconds using distributed computing and scalable cluster management.
Data Lakes & Cloud Storage
Understand modern data warehousing, scalable cloud architectures, and how to securely store enterprise-level data.
Build a Job-Winning Portfolio (Real-Time Projects)
Companies do not hire Data Engineers based on certificates alone; they hire based on proven pipeline creation. You will build cloud infrastructures that mirror actual corporate environments.
Projects You Will Build & Automate:
- Real-Time Retail Analytics Pipeline
- Streaming E-Commerce Customer Data System
- End-to-End Healthcare Data Architecture
- Azure Data Factory ETL Automation Workflow
- Databricks Big Data Processing Engine
You will walk into technical interviews with a GitHub portfolio filled with live ETL pipelines and cloud data architectures proving you are enterprise-ready from day one.
Career Opportunities & Growth
Whether you are a fresher aiming for a top-tier IT job, a Data Analyst wanting to level up, or a software engineer pivoting to cloud tech, Data Engineering offers explosive career growth.
Top Roles You Can Apply For immediately:
Azure Data Engineer
Big Data Engineer
ETL Developer / Cloud Data Engineer
PySpark Developer
Data Platform Specialist
Where will you work? Highly skilled Data Engineers are aggressively recruited by global banking institutions, massive logistics networks, fast-growing AI startups, and top-tier IT consulting firms.
Salary Opportunities & Industry Standards
Fresher Salaries in India
Job Role
Experience
Average Salary
ETL Developer
Fresher
₹4 – ₹8 LPA
Cloud Data Analyst
Fresher
₹5 – ₹9 LPA
Azure Data Engineer
Fresher
₹5 – ₹10 LPA
PySpark Developer
Fresher
₹6 – ₹12 LPA
Experienced Professional Salaries
Job Role
Experience
Average Salary
Senior Data Engineer
3–5 Years
₹15 – ₹28 LPA
Cloud Data Engineer
4–6 Years
₹18 – ₹35 LPA
Big Data Engineer
5–8 Years
₹20 – ₹40 LPA
Data Platform Architect
8–12 Years
₹35 – ₹60 LPA
Remote & Freelance Opportunities
Job Role
Average Salary
ETL Consulting
₹1 – ₹5 Lakhs/project
Cloud Data Projects
₹50K – ₹10 Lakhs/project
Remote Data Engineering
₹15 – ₹45 LPA
The Zero-to-Pro Learning Roadmap
We guide you step-by-step from absolute beginner to a confident Cloud Data Engineer:
Phase 1: The Data Foundation
We start with SQL mastery and the fundamentals of data structures and databases.
Phase 2: Programming & Processing
You learn Python scripting and graduate to PySpark and Apache Spark for massive distributed computing.
Phase 3: The Cloud Environment
We dive deep into Microsoft Azure, exploring Cloud Storage and Data Lake architectures.
Phase 4: Pipeline Automation
You master Azure Data Factory and Databricks to build and automate real-world ETL workflows.
Phase 5: Portfolio & Placement
You finalize your real-time cloud projects, build an engineering-focused resume, and train heavily on Spark and SQL technical interview scenarios.
Companies That Want to Hire You
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
Complete Azure Data Engineering Course In Telugu
Actual Price
Rs. 79,999/-
Special Price
Rs. 15,999/-
Save
Rs. 64,000/-
- Time : 7:30pm - 8:30pm , 3+ Months Duration
- Start Date: 23rd March 2026
- Beginner friendly
- Hands-on-Projects
- Telugu Explanation
- Live Support
Beyond Courses.
We Build Careers.
Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.
- MAANG Ready
Career Acceleration Ecosystem
Everything you need beyond coding to become job-ready.
Resume Building
Session 01
LinkedIn Optimization
Session 02
Freelancing
Session 03
Career Switch Guidance
Session 04
Job Search Strategy
Session 05
Financial Awareness
Session 06
MAANG Preparation
Session 07
Agile & Scrum Workflow
Session 08
Git & GitHub
Session 09
HR + Salary Negotiation
Session 10
Communication Bootcamp
Session 11
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. Do I need advanced coding skills or a computer science degree to learn Data Engineering?
No. While Data Engineering is highly technical, it does not require advanced software development skills like Java or C++. If you can learn the logical commands of SQL and the basics of Python, you can master Data Engineering. We teach you both from absolute scratch.
2. I am a fresher / non-IT professional. Is this the right career path for me?
Yes! Because there is a massive shortage of skilled cloud data professionals, companies are aggressively hiring freshers and career switchers who can prove they know how to build data pipelines. It is one of the most accessible high-paying tech roles available today.
3. Are the live training classes conducted in Telugu?
Yes! All live sessions, practical cloud implementations, and doubt-clearing classes are taught in Telugu. We break down complex cloud architectures and distributed computing concepts in your regional language to ensure absolute conceptual clarity.
4. Why should I learn Data Engineering instead of Data Science or AI?
Data Science and AI are useless without Data Engineering. AI models need massive amounts of clean data to work, and Data Engineers are the ones who build the pipelines to provide it. Because there are fewer Data Engineers than Data Scientists, the hiring demand (and salary) for Data Engineers is currently explosive.
5. What specific cloud tools and technologies will I master?
You will master the ultimate enterprise tech stack: SQL (for databases), Python & PySpark (for data processing), Azure Data Factory (for pipeline automation), and Azure Databricks (for massive big data analytics).
6. Will I actually build real cloud pipelines, or is this just theory?
This course is entirely project-driven. You will not just watch presentations. You will build live, enterprise-grade cloud infrastructures, including Real-Time Retail Analytics and Streaming E-commerce ETL pipelines to show directly to hiring managers.
7. What is the starting salary for an Azure Data Engineer in India?
Because Data Engineering is a premium cloud skill, freshers can expect starting salaries between ₹5 LPA and ₹10 LPA. As you gain experience, Senior Data Engineers and Cloud Architects routinely earn between ₹18 LPA and ₹35 LPA+.
8. Is Data Engineering a good career for remote work and freelancing?
Absolutely. Because all your work is done on the Cloud (Microsoft Azure), you can build and monitor data pipelines from anywhere in the world. It is highly remote-friendly, with massive opportunities for international consulting and freelancing.
9. Do you provide placement assistance?
Yes. We provide comprehensive placement support. This includes aggressive portfolio reviews, building an engineering-focused resume, conducting SQL & PySpark mock interviews, and providing direct job updates for top tech and enterprise companies.
10. Will I receive a certificate after completing the Azure Data Engineering course?
Yes. Upon successfully completing the training and your real-time cloud projects, you will receive an industry-recognized certificate from Frontlines EduTech to boost your LinkedIn profile and resume credibility.
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
