Real-time data systems for industrial and agricultural operations at scale. Custom analytics applications, not dashboards. Five-generation agriculture family.
A modern real-time analytics platform built on top of a 35-year-old legacy reporting system — extending and enhancing it, not replacing it — at the largest cane sugar producer in the United States. The first of its kind at the company. Currently serving the largest mill in the operation, with an architecture designed to scale across additional facilities including a second mill, refinery, and cogeneration.
The work sits at the intersection of operational technology and business intelligence. Custom Power BI applications with hand-coded SVG visualizations, HTML/CSS/JS components, and Deneb/Vega-Lite grammar — not drag-and-drop dashboards. The underlying architecture integrates PI Server historian data, SCADA systems, SAP HANA, and SQL Server into pipelines that refresh intraday and serve trilingual interfaces to operators, engineers, and executives across shifts.
Before data engineering, a decade navigating high-stakes international environments — coordinating press at the Venice and Cannes Film Festivals, grading diamonds at HRD Antwerp, and running trade routes across Hong Kong, Shanghai, and Beijing. That background built something most data engineers don't carry: the ability to operate across languages, cultures, and ambiguity, and to build systems for people who don't think in SQL.
Also the founder of Novus Index — a private AI research laboratory building THREN Modulus, Zinnuh, and ZEIT System on private on-premise infrastructure. Where the work goes beyond what the day job requires and into what the industry will need next.