Product-minded data engineer
I work across pipelines, warehouse models, metrics, and reporting. My focus is production data that teams can trust, from commerce and payments at Meta to financial analytics foundations at Smartpay.
My journalism background still shapes how I work: the system matters, but so does whether people trust the story the data is telling.
Trusted in production
Most of these started from a messy workflow or repeated annoyance. I built them to make something clearer, faster, or easier to use.
Turns messy recruiter email threads into a structured job pipeline. Built with OAuth ingestion, LLM extraction, and SQLite so hiring stages and offer details stop living in inbox chaos.
Transcript-first video editing built on Whisper and FFmpeg. Designed to turn spoken text into a faster editing workflow for rough cuts and cleanup.
Offline semantic search for personal media libraries using OpenCLIP embeddings. Built for privacy-first retrieval without sending files to a hosted service.
Automates podcast intake from RSS feed to transcript, with local download, transcription, and optional speaker diarization for repeatable audio workflows.
My background is in product-facing data work: critical pipelines, reliable reporting, and metrics leaders can use with confidence.
Owned production data pipelines for global commerce and payments, supporting checkout workflows that processed billions of events.
Built the first analytics foundation for a BNPL fintech, giving leadership daily visibility into cash flow, liabilities, receivables, and payment performance.
Analyzed high-volume transaction data for fraud detection and investigation prioritization across enterprise clients.
Women Overseas is a smaller part of the page by design, but it says something real about how I build: patiently, practically, and for actual people.
Founded a community for Chinese-speaking women abroad, now with 20,000+ members.
Open To
Based in Amsterdam and open to roles where data is close to product, finance, and decision-making. Especially interested in teams that care about trusted metrics, reporting quality, and practical systems.
Reach Out
Best fit: Data Engineer, Analytics Engineer, and product-facing data roles in Europe or remote-friendly teams.
[email protected] ↗