Microsoft Business Central

Data model, table relationships, OData connections, go-live implementation experience

Power BI

Custom data models, report design, AI-assisted measure development, Power Query

Supply chain analytics

Inventory planning, demand forecasting, FIFO costing, production order analysis, safety stock

Excel & OData

Direct BC connections via OData, advanced Excel modeling, capacity and cost analysis

Analytical model design

Translating business questions into data model structure, validating outputs against source systems

Manufacturing operations

Production coordination, lean manufacturing, routing, BOM structures, standard and FIFO costing

Why Rhyolite?

Rhyolite is a volcanic rock with a deceptively narrow composition but an unusually wide range of forms — it can cool into obsidian, glass-smooth and almost black, or into pumice so light it floats on water. Glassy, banded, speckled, crystal-rich, or nearly porcelain-smooth depending on how it cooled. Most people walk past it without noticing how much variation is hidden inside a single rock type. Occasionally, the right conditions produce something rare inside it: red beryl, one of the world's scarcest gemstones. That felt right for this kind of work. Raw ERP data looks the same way: dense, noisy, and repetitive until you understand what each table is actually recording. Over time I became good at finding the underlying structure — the pattern that changes a decision.

I came to supply chain analytics through the shop floor.

I started in lean manufacturing — participating in a shingijutsu event at a major heavy equipment manufacturer operating under a Toyota-based production system, redesigning a portion of a scissor lift manufacturing cell under structured pressure. That gave me a foundational understanding of how production systems actually work.

From there I spent several years at North America's largest manufacturer and distributor of interior finishings as one of two CAD designers — translating sales requests into manufacturable drawings, aligning tooling through multiple acquisitions, and helping stand up a new master data system from inception. The work was always the same at its core: taking complex, variable real-world information and converting it into something structured and usable.

That instinct carried into supply chain analytics. During an ERP go-live at an outdoor industry care and repair company, I taught myself a new data model from scratch, built custom reporting infrastructure independently, and developed tools that answered questions the standard reports couldn't.

I hold a degree in Manufacturing and Supply Chain Management and have attended DynamicsCon in 2024 and 2025. I'm based in the Pacific Northwest and open to remote and local opportunities.

The path has always pointed in the same direction. This portfolio is where it currently leads.