Aligned to Databricks Data Engineer Associate

Databricks Data Engineering

Learn the platform companies actually run in production. Master Apache Spark, PySpark, Delta Lake, Auto Loader, Unity Catalog, and Databricks Workflows across 5 production-style scenarios and 2 capstone projects.

Overview
Master scalable data lakehouse engineering on Databricks. Build end-to-end incremental pipelines, watch them break, and fix them yourself across Spark clusters, Medallion Delta Lake layers, and Unity Catalog governance.

Key Highlights

Duration: 10 Weeks (Live instructor-led weekday sessions)
Real Projects: 5 Industry-style scenarios + 2 Shipped Capstones
Certification Aligned: Databricks Certified Data Engineer Associate
Hands-on Practice: Daily applied labs on live production-grade cloud accounts
Industry Mentorship: Guest lectures from working data engineers every weekend

PySpark Foundations (W1–2): DataFrames, distributed transformations, multi-table joins, and Spark cluster execution fundamentals.
Delta Lake & Medallion Pattern (W3–5): ACID transactions, schema evolution, Time Travel rollbacks, and Bronze-to-Gold architecture.
Auto Loader & Ingestion (W6–7): Incremental file ingestion, schema inference, checkpointing, and stream processing.
Unity Catalog & Governance (W8): Catalogs, schemas, data lineage, and fine-grained row/column access control.
Workflows & Orchestration (W9–10): Multi-task job scheduling, DAG dependencies, alerting, and production CI/CD pipelines.

Scenario Interview Prep: Real-world Q&A drawn directly from the 5 production case studies.
Mock Interviews: Technical and scenario-based interview rounds with actionable, structured feedback.
Resume & Portfolio Building: Project-first structure featuring GitHub repositories, case documents, and architecture diagrams.
Certification Guidance: Domain-weighted exam preparation for Databricks Data Engineer Associate.
Ongoing Support: Lifetime doubt resolution and active alumni network access.

Lead Instructor
Saratchendra Nitturi — BI & Software Engineer

Platform Expertise: Enterprise Data Engineer specializing in Databricks, Apache Spark, Delta Lake, and cloud lakehouse architectures.
Hands-on Mentorship: Leads live applied labs and guides you step-by-step through 5 industry case studies and 2 capstone projects.
Production Focus: Shares real-world optimization patterns, pipeline debugging war stories, and interview preparation strategies.