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Master AWS, Snowflake, Databricks, Python, SQL and Airflow. Build real-world ETL pipelines and become a job-ready Data Engineer.
Get your Data Engineering Career Roadmap + Live Demo session access.
Trusted by learners working across top global technology companies
Data Engineering is growing faster than Data Science. Here's what you can expect after graduation.
Average Base Salary
For entry-to-mid level Data Engineers in the India.
Year-Over-Year Growth
In job openings for cloud data engineering roles.
Hiring Partners
Actively recruiting graduates from our network.
Based on 728 Google Reviews
Software Training Institute – Hyderabad | LevelUp, 5th Floor, Nilagiri Block, ADITYA ENCLAVE, Ameerpet, Hyderabad
"I had a very good learning experience with the Data Science with Generative AI course at LevelUp. The course is well structured and easy to understand even for beginners. The practical sessions helped me gain confidence in real-world projects."
Sandhya Nerella
Data Science Graduate
"The Data Engineering course at LevelUp is well structured with strong focus on practical implementation. The teaching quality is excellent and the trainers explain concepts clearly with real examples."
Ayyappa Nani
Data Engineering Student
"The AWS Data Engineering module was intense but rewarding. We worked with S3, Glue and Redshift to build real ETL pipelines. The hands-on labs felt like real industry projects."
Rajesh Thatikonda
AWS Module Graduate
"Very good experience learning PySpark at LevelUp. The trainer explains concepts clearly with practical examples and real datasets."
Sravani Nimmalagari
PySpark Course Learner
Our program is designed to deliver a massive career leap. See the transformation in earning potential after 3 months.
Typical starting salary for a Junior Analyst or Support role.
Average placement salary for our Data Engineering graduates.
Up to 400% Salary Hike
Based on placement data of 500+ successful alumni.
We don't just teach theory. You will build end-to-end data pipelines mirroring real-world architectures used by top tech companies.
Extract data from APIs and databases using Python and Spark.
Model and store data efficiently in Snowflake and AWS S3.
Automate and monitor complex workflows with Apache Airflow.
A fast-tracked, industry-aligned syllabus designed to take you from fundamentals to professional-grade engineering in 90 days.
Master the core languages of data. Learn Python for complex data manipulation, advanced SQL for querying large datasets, and Git for professional version control.
Dive deep into cloud infrastructure. Master AWS services like S3, EC2, and IAM. Learn to design scalable data models and implement Snowflake for enterprise warehousing.
Build at scale with Apache Spark and Databricks. Develop end-to-end ETL pipelines orchestrated by Airflow. Complete a capstone project and undergo intensive interview preparation.
Capstone Project + Interview Prep & Placement Support
Meet Your Mentor & Program Director
18+ Years in Data Engineering & Cloud Technologies
With nearly two decades of deep industry experience, Sateesh brings a wealth of practical knowledge to the program. His approach focuses on hands-on training and building job-ready skills that are in high demand across the globe.
Having mastered enterprise-grade tools like AWS, Snowflake, Databricks, Python, and SQL, he ensures students learn to build robust, scalable data pipelines used by top tech companies.
Hear directly from our students who successfully transitioned into Data Engineering careers after completing our training program. Real student experiences and career transformations.
Learn how our student built real ETL pipelines and landed their first Data Engineering role.
A working professional shares how the program helped them transition into a high-paying Data Engineering career.
Hear how hands-on projects, mentor support, and interview preparation helped this learner succeed.
Join thousands of students who have upgraded their careers. Get your free roadmap and sit in on a demo class today.
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