$ whoami
I build data systems that hold up under regulatory scrutiny — then apply that rigor everywhere else.
Eight years designing and running production pipelines, data lakes, and cloud migrations on Azure and Palantir Foundry. Twelve-plus years working specifically with claims and risk data. I'm not a healthcare specialist — I'm a data engineer whose standards were set in environments where "close enough" isn't a valid answer.
what i do
pipelines & lakes
Production data pipelines and lake architecture in Python, SQL, and PySpark — designed for correctness and lineage, not just throughput.
cloud migrations
Legacy and on-prem systems moved to modern cloud-native platforms on Azure (Data Factory, Synapse) without breaking downstream consumers.
regulated data modeling
Payment, claims, and risk data modeled at production scale, where a schema mistake has compliance consequences, not just a bad report.
automation & tooling
Internal tools and automation that remove manual steps from a pipeline — built the same way whether it's for an enterprise client or my own infrastructure.
selected work
all projects →Synthetic Data Generator
2024A four-stage pipeline that generates privacy-safe synthetic datasets — preserving cross-column statistical correlation — for testing in a locked-down environment where production data never leaves the room.
Self-Hosted Knowledge Base & Automation
2024–presentA self-hosted personal knowledge base with six automated workflows — including a scoped Claude Code agent that reviews and proposes edits to the knowledge base itself every week — reachable only through a private mesh network, never the open internet.
2084
2023–presentA self-hosted MUD built on Evennia — game design, backend, deployment, and networking all owned end to end, with puzzle design prioritized over grinding mechanics.