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Portfolio · Microsoft Fabric

Microsoft
Fabric

Real-world implementations covering Fabric Lakehouse builds, Data Warehouse patterns, Power BI semantic model publishing, and OneLake governance — detailed case studies coming soon.

Work in Progress
Fabric Certified
Case Studies

Upcoming Projects

In-depth walkthroughs of Microsoft Fabric implementations — from architecture decisions through to production deployment and governance.

Project 01
Fabric Lakehouse
Production Build

Designing and building a production Lakehouse on Microsoft Fabric with OneLake as the unified storage layer — including Shortcut integrations from ADLS, Notebook-based transformations, and direct Lake Mode connectivity for Power BI.

Fabric Lakehouse OneLake Shortcuts Delta Parquet
Coming Soon
Project 02
Data Warehouse
Patterns in Fabric

Building a T-SQL–based Data Warehouse in Fabric for structured analytics — covering table design, cross-item queries between Warehouse and Lakehouse, and publishing certified semantic models to Power BI.

Data Warehouse T-SQL Semantic Model Power BI
Coming Soon
Project 03
Real-time Analytics
with Eventstream

Streaming IoT and event data into Fabric via Eventstream — processing with KQL Database, building real-time Power BI dashboards with DirectLake, and setting up alerting pipelines via Data Activator.

Eventstream KQL Database Data Activator DirectLake
Coming Soon
Project 04
OneLake Governance
& Security

Implementing workspace-level and item-level access control across Fabric — covering domain management, sensitivity labels from Microsoft Purview, column-level security in semantic models, and audit logging.

OneLake Governance Purview RLS / CLS Domains
Coming Soon
Tech Stack

Tools & Technologies

The full Microsoft Fabric surface area and integrations powering these projects.

Microsoft Fabric
Unified Analytics Platform
LH
Fabric Lakehouse
OneLake · Delta Parquet
DW
Data Warehouse
T-SQL · Cross-item Queries
PBI
Power BI
DirectLake · Semantic Models
ES
Eventstream
Real-time Ingestion
KQL
KQL Database
Time-series · Analytics