Azure Data Engineer with Microsoft Fabric

Design modern data platforms with Fabric lakehouse architecture, robust pipelines, governance controls, and analytics-ready outputs.

14 Weeks Lakehouse Workflows Azure-Focused BI Delivery Ready

Pipeline Thinking

Design ingestion, validation, and orchestration workflows with production-minded reliability.

Lakehouse Modeling

Structure analytical datasets with governance, quality checks, and performance in mind.

Data Product Delivery

Transform business needs into reusable datasets and reporting-ready assets.

Operational Visibility

Build confidence through observability, lineage, and quality monitoring patterns.

Program Value

This role-focused track develops core skills expected from modern data engineers: ingestion, transformation, modeling, orchestration, and monitoring using Azure and Microsoft Fabric capabilities.

Lakehouse and Warehouse Design

Implement efficient data models for analytical workloads with performance and governance controls.

Pipeline Engineering

Build resilient ingestion and transformation pipelines with validation, orchestration, and observability.

BI-Ready Data Products

Publish governed datasets and reporting-ready data assets for business intelligence consumption.

Cloud data architecture and analytics engineering workspace

Technical Coverage

Comprehensive, production-oriented data engineering workflow implementation.

Data Ingestion and Storage

Batch and incremental ingestion pipelines
Data lake structuring and zone design
Schema evolution and quality checks

Transformation and Modeling

ETL/ELT with orchestration patterns
Star schema and semantic modeling
Performance tuning and cost optimization

Governance and Analytics Delivery

Access controls and lineage tracking
Data product publishing workflows
Dashboard-ready dataset preparation

Career Outcomes and Readiness

Prepare for Azure data engineering roles with portfolio artifacts that reflect real delivery capabilities.

Lakehouse ETL / ELT Orchestration BI Outputs

Fabric Project Portfolio

Build an end-to-end case implementation covering ingestion, transformation, and BI delivery.

Operational Dashboards

Produce quality, latency, and reliability views that demonstrate production observability practices.

Interview Preparation

Hands-on review sessions, architecture walkthroughs, and role-focused scenario discussions.

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