I engineer centralized Microsoft Fabric architectures, automated T-SQL pipelines, and high-speed semantic layers that leadership actually trusts. Explore my production-proven platform below—engineered from a real-world enterprise deployment and sanitized for public demonstration.
The Shift: Why Throwaway BI Stacks Are Failing Enterprise Data Teams
1. The Legacy Debt
Companies are accumulating massive technical debt by stacking hundreds of isolated, ungoverned Power BI reports on top of decaying SQL scripts.
2. Boardroom Debates
Fragmented semantic logic creates conflicting metrics, high developer overhead, slow queries, and zero row-level security enforcement across business units.
3. Automated Architecture
Enterprise analytics requires a single Medallion Lakehouse foundation on Microsoft Fabric—delivering direct-lake reporting, automated SQL pipelines, and governed semantic models.
Operational Platform in Action
End-to-end Microsoft Fabric ecosystem engineered to solve enterprise operational bottlenecks. Operating on anonymized synthetic data to comply with enterprise security and data governance standards.
MAIN PLATFORM WALKTHROUGH
Interactive Reporting Views
Cycle through synthetic reporting layers used to drive purchasing, pricing, and executive decisions.
Procurement Optimization
AI Data Agent & Governance
Natural-language querying inherits the underlying Row-Level Security policy.
FABRIC DATA AGENT & RLS SECURITY DEMO
Production Codebase & Engineering Artifacts
Explore the underlying T-SQL transformations, TMDL semantic definitions, and GitHub Actions CI/CD protocols powering this operational platform.
T-SQL Medallion Ingestion
Medallion Lakehouse in OneLake • automated ingestion • T-SQL transforms & V-Order optimisation
# Silver Layer Ingestion
df_cleansed = spark.read.format(“delta”)
Code-First TMDL / Semantic Modeling
Sub-second Direct Lake • code-first TMDL & PBIP • Tabular Editor and complex DAX logic
measure ‘Total Margin %’ =
DIVIDE([Gross Profit], [Revenue], 0)
Governed Fabric Data Agent & RLS
Fabric Data Agent integration • context-engineered instructions • natural language queries with security inheritance
# Agent Directive:
Must inherit Row-Level Security (RLS).
GitHub Actions CI/CD ALM Pipeline
GitHub Actions CI/CD • Dev/Test/Prod ALM • strict Row & Object-Level Security
name: Deploy-Fabric-Semantic-Model
on: push → main
Production Codebase & Engineering Standards
Transforming transactional complexity into a governed, sub-second reporting engine.
Sources
Azure SQL • APIs • ERP
ADF / T-SQL
Automated Pipelines
OneLake Medallion
Bronze • Silver • Gold
Direct Lake
TMDL • RLS/OLS
Inspect T-SQL pipelines, TMDL definitions, and a PowerShell-generated table-level lineage visualizer.
EXPLORE GITHUB REPO
LAUNCH LINEAGE VISUALIZER
I do not build temporary Power BI dashboards to hit artificial deadlines, nor do I patch decaying SQL scripts to keep legacy systems breathing. Data platforms succeed when leadership enforces a single version of truth—supported by version control, automated pipelines, and strict security.
Across data platforms, modern warehousing, semantic modelling, and executive reporting, the certification path mirrors how a trusted analytics product is engineered end-to-end.
DP-300
Source Databases
Secure and optimise the operational sources that power the platform.
DP-700
Ingest & Warehouse
Move, govern, and prepare data for scalable analytical workloads.
DP-600
Semantic Layer
Model the governed business logic that turns data into a shared language.
PL-300
End-User Reporting
Deliver accessible reports that give decision-makers a clear view of the business.
Let’s Connect.
Whether you’re mapping out a Microsoft Fabric migration, fixing reporting bottlenecks, or recruiting for senior technical roles, I’m always up for discussing complex data challenges. Drop a message below or reach out directly at tom@fearondata.com.