Azure Data Engineer Course
Master Azure lakehouse design, Spark transformations, Delta Lake, and secure data pipelines. Learn to build scalable, cost-optimized Azure data platforms that power real-time analytics and reliable BI for modern data engineering teams.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Azure Data Engineer Course gives you practical skills to design and build a modern lakehouse on Azure, from logical modeling and Delta Lake optimization to Spark-based transformations. You will learn ingestion patterns with Data Factory and Synapse, implement security, governance, and reliability, and tune performance and costs so your data platform stays scalable, trusted, and ready for analytics.
Elevify advantages
Develop skills
- Design Azure lakehouse models: star schemas and bronze–silver–gold layers.
- Build scalable Spark ETL: Delta Lake, schema evolution, and data quality checks.
- Orchestrate Azure pipelines: ADF/Synapse, CDC, batch, and real-time flows.
- Optimize cost and performance: autoscaling, partitioning, caching, and Z-ordering.
- Secure and govern data: RBAC, encryption, row-level security, and lineage.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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