Build scalable data pipelines, optimize big data systems, and become a production-ready data engineering expert
View Course StructureThis comprehensive 8-week course combines theory with hands-on labs to build modern data engineering skills from data wrangling to production pipelines using cutting-edge technologies.
Build end-to-end data pipelines with production-grade quality
Learn from senior data engineers with 15+ years of production experience
Earn a certified data engineering specialist credential
Build ELT/ETL pipelines, data ingestion, and batch streaming using Python, Spark, and Airflow
Design distributed data architectures on cloud platforms with scalability and fault-tolerance
Implement real-time pipelines with Kafka, Flink, and Spark streaming for enterprise applications
Implement enterprise-grade metadata, governance, and security for data platforms
Explore how these skills solve complex data problems in industry
Built a unified data platform for financial services handling 100M+ transactions daily
Case Study DetailsProcessed e-commerce streams at 1M+ events/second for global logistics optimization
Architecture DetailsDesigned domain-centered architecture for 10+ business units across 3 continents
Project OverviewMigrated enterprise to columnar storage solution reducing queries by 350%
Migration DetailsJoin 800+ data professionals who've built production systems across enterprises