Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 7

Implemented a version of StyleGAN encoder
, built a Data Studio connector
, competed at Kaggle
, go crazy about dev productivity - have 51 Github gists (and counting), version-controlled VS Code snippets, half a dosen self-built utilities and paid subscriptions to multiple AI-based dev tools
, been developing physics engines - state-of-the-art one at work, and an ordinary one for fun, as a hobby.

Didn't save a forest, didn't sell a company, but well, that's something too.
Doing data engineering in one form or another since 2016. Mostly with Python and AWS, but also worth noting that at different times with - DataHub, Gruntwork, Apache Superset, Thrift, Quantopian.

Work best if trusted with team-level objectives.
Looking for an opportunity to spearhead a data initiative for a company of "Series B size" or bigger