Data Engineering Program
Build scalable data pipelines with Spark, Airflow, and cloud technologies.
Featured Program
Why Choose This Course?
1:1 Mentorship
Personalized guidance from industry experts to clear doubts and build your career path.
Live Projects
Work on real-world case studies and build a portfolio that employers love.
Placement Support
Dedicated placement cell to help you with resume building and mock interviews.
24/7 Support
Never get stuck. Our support team is available round the clock to assist you.
Curriculum & Learning Path
Foundations of Data Engineering
- Data engineering ecosystem
- Python & SQL basics
- Data modelling (Star/Snowflake)
- Linux/Unix basics
Data Warehouse & ETL/ELT
- OLAP vs OLTP
- ETL pipelines with Python
- Batch workflows
- Orchestration basics
Big Data Processing (Spark & Hadoop)
- Distributed processing concepts
- Apache Spark (RDDs, DataFrames)
- Batch processing architectures
Real-Time Streaming & Orchestration
- Kafka & Spark Streaming
- Apache Airflow (scheduling, monitoring)
- Building streaming pipelines
Cloud Data Engineering
- AWS data services (Redshift, Glue, Kinesis)
- Azure data services (Synapse, Data Lake)
- Lakehouse architecture
Data Storage & Optimization
- Formats (Parquet, Avro)
- Partitioning & Bucketing
- Query optimization & Indexing
Engineering for Analytics & ML
- Feature stores
- ML pipelines support
- MLOps basics
Capstone & Career Prep
- End-to-end pipeline project
- Architecture defense
- Resume & Interview prep
Tools & Technologies
Hands-on Projects
Work on industry-relevant datasets and problem statements to build a portfolio-worthy project.
Analyze trends, forecast data, and provide actionable insights just like a professional.
Alumni Working At Top Global Companies
Our learners are transforming industries worldwide.
Student Success Stories
"Confidence to work on end-to-end pipelines."
"Excellent coverage of Spark and Cloud."
Frequently Asked Questions
Program Fees
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