About

Data Engineer | Solution Architect with 15+ years designing and implementing robust, scalable data ecosystems. I leverage Python, SQL Server/T-SQL, Excel automation (VBA, Power Query), and Power BI to transform raw data into reliable, decision-ready information.

I build streamlined ETL frameworks, improve data integrity, and deliver dashboards that help leaders act with confidence. I communicate clearly, document thoroughly, and thrive in self-directed problem solving for federal and commercial environments.

Projects

AI-Powered Requirements Validation Platform

Solution Architect & Lead Developer

Python-driven NLP/ML platform that matched 4,000+ requirements to test cases for a federal modernization program, cutting validation from 3–4 months to < 2 hours (≈ 98% time reduction).

633+
75–85%
50%
PythonNLPMLText AnalyticsJaccardData Engineering

Executive Metrics Dashboard with Advanced Analytics

BI Developer & Data Analyst

Executive dashboards with quad-chart slicers and 15 KPIs. Integrated data from 13 formats via Power Query ETL, increasing reporting metrics by 496% and visual elements by 389%.

87%
94%
98.2%
Power BIDAXPower Query (M)SQL ServerETL

High-Speed Requirements Validation Macro

VBA Developer

Macro validates 1,592 requirements across 471 test cases in < 1 minute vs 7+ hours manual. RTVM identified a 3.4% coverage gap (62/1,806), enabling 100% verifiable coverage.

<1 min
98.6%
RTVM
Excel VBAAutomationQAData Validation

Enterprise Budget Consolidation System

Database Developer & Solution Architect

Consolidated $628M across 600+ accounts from siloed Excel files into a unified SQL Server / MS Access system. Regex-driven parsing & VBA procedures enabled rapid reconciliation and executive visibility, reducing manual work by 75%.

$628M
600+
75%
SQL ServerT-SQLMS AccessVBAETL

Large-Scale Military Logistics Database

Database Developer & Technical Architect

MS Access front-end with SharePoint 2010 back-end providing real-time tracking and query reporting for 170M+ data points across depots. VBA ETL imports heterogeneous Excel feeds, automates discrepancy analysis, and accelerates processing by 65%.

170M+
24/7
65%
MS AccessSharePointVBAETLSQL

Skills

Data Engineering

ETL design, orchestration, data normalization, quality checks, pipeline automation.

Analytics & BI

Power BI (DAX/M), modeling, dashboarding, KPI design, stakeholder reporting.

Programming

Python (NLP, text analytics), VBA (Excel/Access), SQL/T-SQL, regex.

Platforms

SQL Server, MS Access, SharePoint, Excel/Power Query, GitHub Pages.

Contact

Interested in collaborating or need help with data engineering & analytics?