About
Built from the infrastructure up
I spent my first years in enterprise infrastructure and support before moving into data engineering. That foundation still shapes how I work: when a pipeline fails, I investigate the network, driver, credentials, and runtime as readily as the code.
My best work happens at system boundaries. A machine records a value, a legacy database stores it under an ambiguous name, a pipeline moves it, a model aggregates it, and an application presents it to someone making an operational decision. I make those handoffs reliable and preserve the meaning from source to decision.
I am completing a Master of Science in Data Analytics at Walsh College in 2026 while continuing in my current role.
Career
From support to platform ownership.
Thirteen years with one manufacturer show a clear progression: hands-on support, technical leadership and automation, then data engineering and platform architecture.
2021 — Present
Senior Systems Analyst, Data Engineering & Platform Architecture
Mayco International
Own the data platform and surrounding integrations and applications, from architecture and delivery through monitoring, incident response, and production support.
- Azure Databricks lakehouse architecture
- Metadata-driven ingestion pipelines
- MES and ERP integration
- SQL Server data warehousing
- Power BI and Fabric semantic models
- Operational applications
- Production ownership
2020 — 2021
IT Supervisor
Mayco International
Led the team responsible for enterprise infrastructure and manufacturing systems, prioritizing automation, incident response, and operational continuity.
- Technical leadership
- Manufacturing infrastructure
- Incident response
- Automation
- Operational continuity
2013 — 2020
IT Support and Technician roles
Mayco International
Progressed through hands-on support roles across plant and business systems, building the infrastructure, database, and networking foundation behind my later data work.
- Enterprise support
- Scripting and automation
- Databases and networking
Education
Education
2026
Master of Science in Data Analytics
Walsh College
2018
Bachelor of Science in Computer Engineering
Wayne State University
Approach
The principles behind the systems.
The engineering page explains how I design for reliability, verify ambiguous data, and choose the right layer for each responsibility.
In short: prefer configuration to repeated custom work, verify what a field means before building on it, design the guardrails before the first production write, and place expensive computation in the layer best equipped to own it.
Contact
Start with email.
Metro Detroit, Michigan