Aligned to DP-600 & DP-700

Microsoft Fabric Engineering + Analytics

Master end-to-end lakehouse engineering on Microsoft Fabric. Build production-grade Data Factory pipelines, PySpark medallion transformations, Data Warehouses, and Direct Lake Power BI semantic models across 8 enterprise case studies.

Overview
Build an end-to-end lakehouse on Microsoft Fabric. Master Data Factory pipelines, PySpark on Lakehouse medallion layers (Bronze/Silver/Gold), MPP Data Warehouses, and Direct Lake reporting with Power BI.

Key Highlights

Duration: 12 Weeks (Mon–Fri live theory + 1.5 hrs daily practical build)
Real Projects: 8 Enterprise case studies + 2 Capstone projects
Certifications Aligned: Microsoft DP-600 & DP-700
Live Practice: 100% cloud accounts with production-grade datasets

Azure Cloud Foundations (W1-2): Storage accounts, ADLS Gen2, and Data Factory orchestration.
Pipelines & Ingestion (W3-4): Metadata-driven copy activities, incremental loading, and triggers.
PySpark & Lakehouse (W5-8): Medallion architecture, Delta Lake, window functions, and query optimization.
Warehouse & SQL (W9-10): Star schemas, 1NF–3NF, stored procedures, and T-SQL endpoints.
Security & Governance (W11): SHA-256 PII masking, OneLake roles, and Row/Column Level Security.
Real-Time Analytics & Capstones (W12): Eventstream, KQL databases, Data Activator, and project builds.

Lead Instructor
Saratchendra Nitturi — BI & Software Engineer

Platform Expertise: Enterprise Data Engineer specializing in Microsoft Fabric, Azure platforms, PySpark, and Power BI architecture.
Live Instruction: Leads live weekday interactive build sessions and architecture reviews.
Hands-on Mentorship: Guides you step-by-step through 8 real-world enterprise case studies and 2 capstones.
Career Coaching: Delivers scenario-based interview preparation, portfolio reviews, and certification roadmaps for DP-600 & DP-700