Summary
Peter Majko is an accomplished Head of Data Platform with 10 years of experience building high-trust, cost-efficient cloud-native data platforms and leading cross-functional teams to ship reliable systems. Based in the Cologne Bonn region, he blends hands-on engineering—PySpark, Databricks, Azure, FastAPI—with strategic responsibilities like budget planning, API-first design, security/privacy by design, and platform modularization. He’s known for translating complex data engineering into clear business decisions while fostering ownership and growth in engineers, and he has led large refactors (2,000+ transformations) and CI/CD-driven data ecosystems. As a founder and principal consultant he pairs enterprise leadership at Henkel and Gen Re with startup-style agility, driving automation and innovation across industries. Notably, his background spans both deep technical implementation and product-level governance (GDPR, global BI boards), giving him rare fluency between technical trade-offs and business outcomes.
10 years of coding experience
8 years of employment as a software developer
Bc (unfinished), Telecommunications, Bc (unfinished), Telecommunications at Slovenská technická univerzita v Bratislave
Bc (unfinished), Teaching of Biology and English Language, Bc (unfinished), Teaching of Biology and English Language at Univerzita Komenského v Bratislave
Maturita (Abitur), Secondary education, 1.2 (3xA, 2xB), Maturita (Abitur), Secondary education, 1.2 (3xA, 2xB) at Gymnázium Ladislava Novomeského (GLN)
Master's degree (unfinished), Economics & Management, Master's degree (unfinished), Economics & Management at Vysoká škola ekonómie a manažmentu verejnej správy v Bratislave
English, German, Slovak