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.
Training in Telugu
Recordings
Addon Sessions
Projects
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.
Collect data from apps, websites, databases, APIs, and IoT sources, then bring it into Azure for processing and analysis. Create reliable connections between multiple data sources for smooth and continuous data movement
Store large volumes of structured and unstructured data using Azure cloud data services so information stays scalable, secure, and accessible. Organize data efficiently so teams can access the right information whenever they need it.
Build automated ETL/ELT pipelines to clean, transform, and organize raw data into a reliable format for business use. Automate repetitive data workflows to improve accuracy, speed, and overall data quality.
Prepare high-quality data for analytics, dashboards, machine learning, and AI systems, helping businesses make faster and smarter decisions. Make data ready for reporting and advanced analytics so insights can be generated with confidence.
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.
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.
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.
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.
Microsoft Azure is used globally. Your skills will be instantly recognized by massive MNCs, SaaS startups, and high-paying remote consulting firms worldwide.
We train you on the exact tools required by top product-based companies and global IT service giants:
The foundational language. Master complex queries, joins, and database manipulation to manage raw data systems.
Learn Python basics and scale up to PySpark—the industry standard for processing massive, big data workloads efficiently.
Master cloud automation. Learn to build, schedule, and orchestrate complex ETL pipelines entirely in the cloud.
Learn to process millions of rows of data in seconds using distributed computing and scalable cluster management.
Understand modern data warehousing, scalable cloud architectures, and how to securely store enterprise-level data.
Connect data engineering with powerful analytics. Build modern data warehouses, run large-scale queries, and prepare trusted data for reporting and business intelligence.
What is data engineering
Introduction to Azure
Comparison of Azure vs AWS Data Engineering services
Bigdata introduction
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
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
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
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
👉 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
👉 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
Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.
Everything you need beyond coding to become job-ready.
Session 01
Session 02
Session 03
Session 04
Session 05
Session 06
Session 07
Session 08
Session 09
Session 10
Session 11
Rs. 49,999/-
Rs. 15,999/-
Rs. 34,000/-
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
Job Role
Experience
Average Salary
Senior Data Engineer
3–5 Years
₹15 – ₹28 LPA
Cloud Data Engineer
4–7 Years
₹18 – ₹35 LPA
Big Data Engineer
5–8 Years
₹20 – ₹40 LPA
Data Platform Architect
8–12 Years
₹35 – ₹60 LPA
At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.
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.
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.
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.
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.
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).
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.
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+.
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.
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.
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.
Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.
