Summary
Nikita Malovichko is a data engineer with a decade of experience building end-to-end data systems, currently shaping analytics infrastructure at Spotify. He specializes in ETL, scalable data parsing (Spark, k8s), data vault design on S3/Postgres, and async Python services, with hands-on performance tuning across Spark, Hive and PostgreSQL. Comfortable across backend frameworks (Django/Flask), async patterns (Celery, asyncio), and cloud tooling (AWS EMR, S3, SQS, Docker), he pairs strong software engineering practices with production-focused data engineering. His background in gyroscopic systems and embedded C gives him a hardware-aware, algorithmic approach to problem solving that surfaces in ML-driven text recognition and data validation work. Based in Stockholm, he combines system-level thinking with a bias for pragmatic, test-driven delivery.
10 years of coding experience
7 years of employment as a software developer
Alumni OUS, Space technologies and telecommunications, Alumni OUS, Space technologies and telecommunications at Open University Skolkovo
The Diploma of Specialist (Engineer), Gyroscopic instruments and systems for orientation, navigation and stabilization, 4,2, The Diploma of Specialist (Engineer), Gyroscopic instruments and systems for orientation, navigation and stabilization, 4,2 at Bauman Moscow State Technical University
Russian, English, Spanish, German, Swedish