simona.

product-minded data engineer  ·  amsterdam

I build trusted data systems teams rely on.

Seven years building production pipelines, warehouse models, and decision-driving metrics at Meta, a fintech startup, and a Big Four firm. My background in journalism sharpened my ability to communicate clearly and tell the story behind the data, not just make it run.

view projects → request resume →
7+
years in data
3
companies
1B+
events / day at peak
20k
community members
01

I like building useful tools.

Most started from a messy workflow or repeated annoyance. Built to make something clearer, faster, or easier to use — often with AI as part of the coding process.

01

offertracker

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 ↗
02

FastCut

Transcript-first video and audio editor. Generate a transcript, select words to cut or restore, preview the edited result, and export the final file with ffmpeg.

transcript editing qwen / asr ffmpeg
github ↗
03

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 ↗
04

Podcast RSS Feed to Transcript

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

rss whisper automation
github ↗
02

I have shipped decision-grade data.

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 ↓ 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 → 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 ↓ 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
03

I build communities with staying power.

volunteer · ongoing
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 ↗
04

Let's talk.

Based in Amsterdam. Most interested in data engineering, analytics engineering, and product data roles where data is close to product, finance, and decision-making.

Data Engineering
Analytics Engineering
Product Data Roles

If you're hiring for a team that values trusted pipelines, clear metrics, and practical systems, I'd be glad to connect.

Email Me ↗
linkedin ↗ github ↗ resume on request ↗