whoami

Dmitrii Pyshnenko

Senior Analytics Engineer @ Fourthline · Product Analytics

Amsterdam, NL8+ years in datafintech & e-commerce
Get in touch LinkedIn ↗

dvpyshnenko@gmail.com

about

I turn messy data into modular, trustworthy models — and then use them to drive product decisions. That means owning the full path from raw sources to reporting, with CI/CD and testing built in, not bolted on.

I pair solid data engineering (dbt, Airflow, source-to-reporting ownership) with product analytics: defining metrics, running A/B tests, and translating experiment results into decisions for product, business, and marketing teams.

Currently building the analytics foundation at Fourthline, a fintech making digital identity verification safe and compliant. Before that: maps at TomTom, e-commerce at bol.com, and consulting at Deloitte.

stack

SQLdbtAirflowPythonDatabricksA/B testingData modelingCI/CDMetrics designAWS

experience

2024 — now
Senior Analytics Engineer · Fourthline

Full source-to-reporting ownership of analytics models in a regulated fintech environment.

2023 — 2024
Analytics Engineer, Product Team · TomTom

Product analytics engineering for one of Europe's leading location-technology companies.

2021 — 2023
Product Analyst · bol.com

Experimentation and product metrics at the largest e-commerce platform in the Benelux.

2016 — 2021
Business Analyst → Senior Consultant · Deloitte Consulting

Data and technology consulting across industries, Moscow and Amsterdam.

writing

cd ~/blog →

education & certifications

Education

  • MSc Business Administration — VU Amsterdam
  • Data Science — Yandex School of Data Analysis
  • BSc Computer Science — NUST MISIS

Certifications

  • AWS Certified Cloud Practitioner
  • Professional Scrum Master I
  • Certified SAFe® 5 Agilist
  • MLOps — Machine Learning Engineering for Production

contact

Let's talk data.

Open to conversations about analytics engineering, product analytics, and building data teams that ship trustworthy numbers.

dvpyshnenko@gmail.com

Outside of my day job I take on a small number of consulting engagements — analytics audits, dbt and data-stack reviews, and helping teams hire and interview data talent.