Interactive BI & data portfolio

Barry Middlebrook

Data Architect Senior SQL Developer Power BI Developer Analytics Engineer ETL / Data Pipeline Engineer Governance Lead

“I build modern data systems that are fast, trustworthy, and audit-ready.” This site demonstrates how I approach real enterprise problems using BI, SQL, ETL, dimensional modeling, and governance — not a résumé, but a working showcase of method.

Explore the demonstrations → How to read this portfolio

What I Demonstrate

Four end-to-end demonstrations

Each artifact walks a realistic enterprise scenario from problem to audit-ready outcome — an interactive worked example you can click through.

SOX

ARTIFACT 01

Enterprise Power BI with SOX Controls

A unified mortgage-servicing dashboard on a governed star schema — RLS aligned to SOX access matrices, documented DAX, lineage, and refresh logs for audit evidence.

Open demonstration → SQL PROFILER

ARTIFACT 02

SQL Performance & Data Modeling

Diagnosing a slow healthcare-claims system with SQL Profiler and execution plans, then redesigning fact/dimension tables with SCD Type 2 and partitioning.

Open demonstration → AI ANOMALY

ARTIFACT 03

ETL, Data Quality & Governance

An end-to-end pipeline with validation checkpoints, AI anomaly detection, a data-quality scorecard, and a governance dashboard consuming pipeline logs.

Open demonstration → MODERNIZATION

ARTIFACT 04

SSRS → Power BI Modernization

Inventorying static SSRS reports, consolidating embedded SQL into governed views, and rebuilding as an interactive Power BI semantic model with governance controls.

Open demonstration →

Technical Strengths

The stack behind the demonstrations

A senior BI/data-architecture toolkit spanning the Microsoft data platform, modeling discipline, and governance. Select any capability to see where I've applied it.

Select a capability above to see where I've applied it — with the company and years.

Industries Served

Built for regulated, high-stakes data

The demonstrations are framed around domains where accuracy, access control, and auditability are non-negotiable.

Finance

Mortgage servicing, SOX controls, model risk, and executive reporting where every number must trace to a governed source.

Healthcare

Claims and encounter analytics with SCD Type 2 history, partitioned facts, and validated, self-service semantic layers.

Public Sector

Transparent, auditable reporting pipelines with lineage, data-quality scoring, and SLA compliance built into the platform.

Portfolio Philosophy

These are demonstrations of how I solve problems.

Every artifact on this site is an interactive worked example. Each walks a realistic enterprise scenario — the problem, the constraints, the architecture, and the method — to show how I design fast, trustworthy, audit-ready data systems.

The scenarios and figures use sample data to communicate approach and craft. Read them the way you would read a worked solution: as evidence of thinking, technique, and engineering standards.

Barry Middlebrook

Data ArchitectSenior SQL DeveloperPower BI DeveloperAnalytics EngineerETL / Data Pipeline EngineerGovernance Lead

About Middlebrook

The full stack this work demands.

Modern BI takes more than a dashboard tool. It takes one person who can model the data, tune the SQL, engineer the pipeline, and design reporting an executive actually trusts — I work across all of it.

24 years across the enterprise data lifecycle — SQL Server and T-SQL, dimensional modeling, ETL, and Power BI reporting, much of it in regulated finance (SOX, CFPB/MISMO).
Pipeline → model → report, end to end — SSIS/ADF pipelines feeding star schemas with SCD Type 2 history, tuned stored procedures, and Power BI semantic layers built for self-service.
Reporting leaders can trust — governed definitions, documented lineage, and row-level security, so every number on a dashboard traces back to a single source.

A BI developer, data architect, and analytics engineer in one — the person who owns the whole path from raw source to boardroom-ready report.