Features
- Industry-aligned curriculum with modern tools
- Hands-on labs and real-world projects
- Step-by-step roadmap from beginner to advanced
- Focus on cloud & big data technologies
- Job-oriented learning with interview preparation
- Practical exposure to production-grade pipelines
- Learn from experienced industry mentors
- Build a strong portfolio to showcase your skills
This Data Engineering training program focuses on practical, hands-on learning to help you master the complete journey of data — from ingestion to transformation to analytics-ready storage.
You will start with the fundamentals of data systems and gradually move into advanced topics like distributed processing, real-time pipelines, and cloud-native architectures. Each module is designed to reflect real industry use cases so that you don’t just learn concepts, but actually build production-style data pipelines.
Throughout the course, you will work on guided labs and capstone projects that simulate real business scenarios such as log processing, analytics pipelines, and streaming data platforms. This ensures you graduate with a strong portfolio and job-ready confidence.
🎯 What You Will Learn
In this course, you will gain in-demand skills across the complete data engineering lifecycle:
- Fundamentals of Data Engineering & modern data ecosystems
- Python programming for data processing and automation
- SQL for data analysis, transformations, and optimization
- Data modeling concepts (OLTP, OLAP, Star & Snowflake schemas)
- Building ETL & ELT pipelines from scratch
- Working with relational & NoSQL databases
- Big data processing with Apache Spark
- Real-time data streaming using Kafka
- Data warehousing with tools like Snowflake / BigQuery / Redshift
Lessons:
