I help organizations turn messy, unreliable, or underused data into systems they can actually depend on.

My focus is practical data engineering: database architecture, business intelligence, and ETL. The goal is always the same: reliable information that supports real decisions, built in a way that ordinary teams can understand and maintain.

I’m not interested in solutions that look impressive in a slide deck but fall apart under daily use. I bring a systems-oriented, common-sense approach shaped by manufacturing engineering, military experience, and more than a decade of hands-on SQL work.

What I offer

Database Architecture & Design

Designing or improving the structure of your data so it accurately reflects the business, supports current needs, and can grow without constant rework.

Data Integration, ETL, and Data Pipelines

Building or fixing the processes that move data from source systems into a usable form. Emphasis on reliability, clarity, and maintainability over complexity for its own sake.

Business Intelligence & Reporting Foundations

Creating the solid data layer that good reporting and analysis depend on—so dashboards and reports are trustworthy instead of constantly questioned.

SQL Optimization & Problem-Solving

Diagnosing slow queries, tangled logic, or fragile processes and making them cleaner, faster, and more robust.

Practical Guidance & Assessment

Helping teams evaluate their current data setup, identify the real bottlenecks, and decide what is worth fixing first.

How I Work

I start with the actual problem and the people who live with it, not with a preferred tool or architecture.

Engagements typically begin with a conversation to understand what is broken or missing, what “better” would look like in practical terms, and what constraints exist (time, skills, existing systems). From there I recommend a focused scope rather than a large transformation program.

My project approach has been shaped by Agile and Scrum practices. I favor iterative delivery, clear prioritization, regular feedback, and adjusting based on what is actually working—without treating any framework as dogma. The goal is steady progress and reliable results that your team can own after the work is done.

I favor clear communication, documented decisions, and solutions that ordinary people can understand and maintain.

Who this is for

This work is a good fit if you value:

• Practical results over theoretical purity
• Systems that ordinary people can understand and maintain
• A straightforward, no-nonsense approach to data problems

It is especially useful for organizations that have outgrown ad-hoc spreadsheets or fragile pipelines and need something more solid without unnecessary complexity.

Next step

If you have a data architecture, ETL, or BI challenge and want a clear-eyed conversation about it, get in touch.

I’m happy to discuss the specific situation and whether I’m the right person to help.