To surface any case
Self-serve — no archive digging, no bespoke query.
Data & Platform Engineering
I think as a Data Engineer
Given an open-ended goal, I scope it, choose the architecture, and ship the whole stack — the data layer and the interface people actually use.
Ingest the data, learn the schemas, build dashboards — a starting point, but the capability teams truly needed was still unclear.
Worked beside the people closest to the data to find where it actually hurt.
Architecture, stack, deployment, roadmap, vision: every call, mine.
Give me a direction, not a spec.
I turn ambiguity into infrastructure — and own every decision in between.
Self-serve — no archive digging, no bespoke query.
Engineers answer their own data questions.
Results flow to dashboards & Teams on their own.
Solo, from nothing to a tool teams open daily.
Locked-away telemetry → a self-serve tool teams open every day. ~6 months, solo.
Hand-bundled vanilla JS — near-zero maintenance.
Every feature removes in one pass.
A missing piece never kills the page.
Denormalized hot paths for speed.
Compute right-sized to refresh cadence.
Fan-out reclassifies heavy/light at runtime.
On-demand extraction, federated search, live analytics, and self-serve sampling — one FastAPI backend behind them all.
Production .tar / .tar.gz / .zip pulled from cloud storage and unpacked on demand.
Resolve a user, org, or device, then stream its sessions — federated across engines.
Interactive dashboards — data rate, distributions, tiered quality, compare mode, AI insights.
Filter, count, and pull every matching archive with one generated command.
Trino federates the sources; a daily, Dockerized batch job lands rollups in ClickHouse for the dashboards.
Image frames · video · radar / IQ signal · run logs · nested JSON blobs.
A pipeline I built so quality reaches the team with no human in the loop.
Telemetry → tracked quality metrics.
Pipelines & ClickHouse aggregates.
Federation, caching, streaming APIs.
Schema & safe, additive change.
The SPA — layout, interaction, motion.
Self-serve tooling that kills bottlenecks.
I do my best work where the scope is unclear and the decisions are mine to make.