Your First Step to a Career in Azure Data Engineering Course in telugu
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.
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.
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
Azure Data Engineering 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 Engineering Course
1. Data Engineering Introduction
What is data engineering
Introduction to Azure
Comparison of Azure vs AWS Data Engineering services
Bigdata introduction
2. SQL
- SQL Fundamentals
- DDL, DML, DCL & TCL
- Constraints (Primary Key, Foreign Key, Unique)
- Joins
- GROUP BY, HAVING, ORDER BY
- Subqueries & CTE
- Views
- Stored Procedures
- User Defined Functions (UDF)
- Indexes & Query Optimization
- Window Functions
- PIVOT & UNPIVOT
3. Azure Basics
- What is Azure & Cloud
- Azure Resource Groups
- Azure Portal Walkthrough
- Azure Services
- Azure SDKs & Tools
- Azure Free Subscription
4. Python Overview
- Python Basics & Syntax
- Variables & Data Types
- Operators
- Flow Control & Loops
- Functions & Lambda Functions
- Lists, Tuples, Sets & Dictionaries
- File Handling (I/O)
5. Apache Spark
- Spark Architecture
- Spark Core & RDD
- DataFrames
- Spark SQL
- Spark Streaming
- Structured APIs
- Performance Optimization
- Hive Integration
6. Azure Storage & Data Lake
- Azure Blob Storage
- Azure Data Lake Gen2
- Azure Key Vault
- Azure Data Factory
- Pipelines & Activities
- Linked Services & Datasets
- Integration Runtime
- Triggers
- Mapping Data Flow
- Git Integration & CI/CD
7. Azure Synapse Analytics
- Synapse Workspace
- Serverless & Dedicated SQL Pools
- Spark Pools
- Synapse SQL Architecture
- External Tables
- CETAS & CTAS
- Storage Integration
- Workspace Monitoring
8. Azure Databricks
- Databricks Workspace
- DBFS
- dbutils
- Widgets
- Mount Points
- Secret Scopes
- Databricks CLI
- Azure Storage Integration
9. Delta Lake, Data Warehousing & Data Modeling
Delta Lake
- Architecture
- Schema Enforcement
- Schema Evolution
- Time Travel
- Vacuum
- SCD Type 1 & Type 2
Data Warehousing
- OLTP vs OLAP
- ETL, ELT & Lakehouse
- Star & Snowflake Schema
- Fact & Dimension Tables
Data Modeling
- ER Diagrams
- Normalization
- Denormalization
- Metadata Management
10. Microsoft Fabric & Databricks Genie (AI)
Microsoft Fabric
- Fabric Workspace
- OneLake & Lakehouse
- Warehouse
- Data Factory & Dataflows
- Spark in Fabric
- REST API Integration
- Azure SQL Integration
- End-to-End Data Pipeline
Databricks Genie (AI)
- Databricks Genie Introduction
- Natural Language to SQL
- Conversational Analytics
- Query Generation using LLMs
- Enterprise Data Insights
Real-World Azure Data Engineering Projects That Get You Hired
1. Uber Trip Data Analytics (Microsoft Fabric)
Analyze ride-hailing trip data to identify peak demand, surge pricing, and driver utilization using Microsoft Fabric.
Tools Used : Microsoft Fabric • OneLake • Fabric Data Engineering • SQL • Fact & Dimension Modeling
2. Microservices Project2. Telecom Sales Data Analytics (Azure Databricks/ADF)
Build a telecom analytics solution to process customer and sales data, detect churn, and analyze revenue trends.
Tools Used : Azure Data Factory • Azure Databricks • PySpark • Delta Lake • Delta Live Tables • SQL • Databricks Dashboards
1. Student Performance Analytics
Build an end-to-end Azure data pipeline to process, transform, and analyze student academic, attendance, and enrollment data.
Tools Used : Azure Data Factory • Azure Data Lake • Azure Databricks • SQL • Delta Lake
2. Bike Store Sales Analyticsx
Process sales and inventory data to generate KPIs, optimize store operations, and identify business insights using Azure services.
Tools Used : Azure Data Factory • Azure Data Lake • Azure Databricks • SQL • Delta Lake
Watch the Demo of Our Azure Data Engineering Course in Telugu to Get a Preview of the Topics Covered.
Hear from Our Successful Students
Stories That Prove Your Success
Complete Azure Data Engineering Course In Telugu
Actual Price
Rs. 49,999/-
Special Price
Rs. 15,999/-
Save
Rs. 34,000/-
- Time : 7:30 AM - 9:00 AM , 5+ Months Duration
- Start Date: 7th Sep 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 Engineering 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 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
