Much of what I build sits behind NDAs and inside regulated environments. I am writing up the parts I can share as proper case studies — architecture decisions, trade-offs, and what I would do differently.
Four case studies in the pipeline
Publishing progressively through 2026. Want early access, or a private walkthrough of relevant work? Email is fastest.
Status · Drafting
What is coming
A GCP lakehouse that unified high-frequency biosensing telemetry with clinical EHR data, with sub-second Pub/Sub and Dataflow alerting and an FDA-ready provenance trail.
A streaming fraud pipeline over transactional Kinesis feeds and custom models that cut fraud losses by more than 40% in the first six months after a Redshift migration.
Moving a bank's analytics estate from on-prem SQL Server onto Azure Databricks and SSIS while availability for downstream reporting jumped 90%.
Three years at Google leading Dataflow and BigQuery programs for Fortune 500 customers, including a cost-inventory tool that cut GCP spend 30% in three months.