Data Architecture & Analytics, Built End-to-End.

I engineer centralized Microsoft Fabric architectures, automated T-SQL pipelines, and governed semantic models that leadership actually trusts. Built for high performance, flexible reporting, and clean operational handoff.

SOURCES

ERP • CRM • SQL Databases • SaaS Tools • REST APIs

MICROSOFT FABRIC PLATFORM

Raw Data

Curated

Dimensional

Semantic

Delta Parquet • Automated T-SQL • Star Schema • Direct Lake

TRUSTED DECISIONS

Power BI • Excel • AI Agents • Power Automate • Custom Apps

From Fragmented Engineering to Governed BI Systems

The Patchwork Trap

Teams rely on disconnected spreadsheets, one-off SQL scripts, and ad-hoc reporting tools to continue operations. What starts as a quick fix turns into a fragile web of band-aids that prevents you from building the actual solutions your business needs.

Ad-Hoc Scripts • Data Silos • Fragile Workarounds

The Operational Bottleneck

Makeshift infrastructure makes answers slow, expensive, and untrustworthy. Without centralized governance, clear documentation, or security enforcement, you are left with conflicting numbers, high contractor overhead, and systems only one person knows how to maintain.

Maintenance • Security Risks • No Documentation

Governed, End-to-End BI

A centralized data foundation provides a single source of truth across all operations, integrating seamlessly with your ERPs, operational tools, and Excel workflows—delivering high flexibility, low operational overhead, and a clean handoff your internal team can actually manage.

Source of Truth • ERP Integration • Clean Handoff

Operational Platform in Action

A technical walkthrough of the automated Microsoft Fabric platform—from ERP ingestion to Direct Lake semantic models.

Full Platform Architecture

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Production Reporting Environment

Direct Lake semantic models running live over synthetic enterprise data. Test sub-second cross-filtering and analytical responsiveness directly below.

Power BI Embed PlaceholderCommercial Margin

Production Codebase & Engineering Standards

Explore the repository structure, parameterized T-SQL transformations, CI/CD deployment pipelines, and end-to-end data lineage.

Inspect GitHub Repository ↗

ARCHITECTURAL DOMAIN

TYPICAL POWER BI SETUP

GOVERNED FABRIC PLATFORM

Model Source Control

Monolithic .pbix binaries with zero Git version control

Code-first TMDL & PBIP tracked in GitHub with branch protection

Ingestion Pipeline

Heavy direct queries causing live database locks and silent failures

Zero Impact parameterized T-SQL with automated delta watermarking

Release Management

Manual publishing directly into production workspaces

Automated GitHub Actions CI/CD across Dev → Test → Prod

Query Engine

Bloated Import mode with heavy refresh concurrency bottlenecks

Sub-second Direct Lake over Delta Parquet tables in OneLake

Security & Access Control

Ungoverned workspace access and fragmented report filters

Model-level Security (RLS & OLS) inherited by consumption endpoints

The Delivery Framework

An agile, vertical-slice framework designed to ship a production-ready MVP in weeks—establishing the core platform before scaling across business domains.

PHASE 01 / DOMAIN SCOPING

Architecture & Scoping

Audit operational data sources, define core business metrics (e.g., Margin, Revenue), and establish the high-priority domain slice for the initial MVP.

Source Discovery • Metric Scoping

PHASE 02 / INGESTION & CI/CD

Source-to-Bronze Core

Deploy parameterized T-SQL ingestion pipelines to OneLake Bronze storage, configure Dev/Test/Prod environments, and establish baseline CI/CD automation.

Source-to-Bronze • ALM Baseline

PHASE 03 / MEDALLION & MODELING

Curated Semantic Core

Transform raw delta tables into curated Silver and dimensional Gold schemas, then build sub-second Direct Lake TMDL models with centralized security.

Medallion Lakehouse • TMDL Definitions

PHASE 04 / ENABLEMENT & ROLLOUT

Production MVP Rollout

Ship executive reporting layers, document table-level lineage, and enable internal analysts to build trusted self-service queries on top of the semantic core.

Production MVP • Analyst Enablement

Platform Engagements

Reviewing data estates for an upcoming Microsoft Fabric implementation. Get in touch to evaluate commercial return and scope.

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