Simona.

Product-minded data engineer

I build trusted data systems for product and finance decisions.

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.

View Projects Request Resume

Trusted in production

Ex-Meta Ex-Smartpay 7+ years
SQL Python dbt BigQuery Snowflake
Commerce Payments Financial reporting AI tooling

I like building useful tools.

Most of these started from a messy workflow or repeated annoyance. I built them to make something clearer, faster, or easier to use.

OfferTrack

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.

Python LLMs OAuth SQLite
Live app ↗ GitHub ↗

FastCut

Transcript-first video editing built on Whisper and FFmpeg. Designed to turn spoken text into a faster editing workflow for rough cuts and cleanup.

Whisper FFmpeg
GitHub ↗

LocalPix

Offline semantic search for personal media libraries using OpenCLIP embeddings. Built for privacy-first retrieval without sending files to a hosted service.

CLIP Vector Search Privacy
GitHub ↗

Podcast RSS

Automates podcast intake from RSS feed to transcript, with local download, transcription, and optional speaker diarization for repeatable audio workflows.

RSS Whisper Automation
GitHub ↗

I have shipped decision-grade data systems.

My background is in product-facing data work: critical pipelines, reliable reporting, and metrics leaders can use with confidence.

Meta
Senior Data Engineer, Commerce Data Systems
2018 - 2022

Owned production data pipelines for global commerce and payments, supporting checkout workflows that processed billions of events.

Billions of events / day Latency down 50%
  • Led an infrastructure migration that reduced pipeline latency by 50% on critical commerce workflows.
  • Defined logging and instrumentation standards adopted across global engineering teams, improving reliability and debugging.
Python Logging Frameworks Distributed Systems
Smartpay
Data Analytics Engineer, Financial Core
2025

Built the first analytics foundation for a BNPL fintech, giving leadership daily visibility into cash flow, liabilities, receivables, and payment performance.

0 to 1 data foundation Daily reporting
  • Turned manual monthly reporting into automated daily outputs for finance and leadership teams.
  • Built the company’s first automated cash-flow analytics system and unified checkout and payment data into a production reporting layer.
SQL Python Unified Data Modeling
Deloitte
Data Analyst, Fraud Analytics
Earlier

Analyzed high-volume transaction data for fraud detection and investigation prioritization across enterprise clients.

1M+ transactions / day Processing time down 50%
  • Worked across 1M+ daily transactions for large enterprise clients.
  • Reduced fraud-analysis processing time by 50% through cleaner analysis and validation workflows.
SQL R Tableau Data Validation

I also build communities with staying power.

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.

Women Overseas
Co-founder
Oct 2020 - Now

Founded a community for Chinese-speaking women abroad, now with 20,000+ members.

  • Organized and hosted 50+ workshops and community events, including bi-weekly online panels and fireside chats.
  • Scaled membership from 0 to 5,000+ in six months and expanded the community globally.
Website ↗

Open To

Senior product and analytics data roles.

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

Easy to hire.

Best fit: Data Engineer, Analytics Engineer, and product-facing data roles in Europe or remote-friendly teams.

LinkedIn ↗ GitHub ↗ Resume on request ↗