Summary
Zsombor Egyed is a Data Engineer with 10 years’ experience building data pipelines and preparing high-quality datasets for ML and analytics, currently at Trax Retail after shaping ADAS data workflows at Continental. He blends a strong foundation in Python, SQL/PL-SQL and Linux with hands-on experience in Hadoop/Spark/Hive, MongoDB, AWS S3 and image processing for computer vision. Comfortable across languages from C# and Java to Scala and Lua, he favors Python for practical ML/data work and has implemented production models for user identification and domain-company mapping at Oracle. Zsombor enjoys treating data work as both craft and play, preferring analytic and ML-focused engineering over traditional ETL-heavy roles, and brings an engineer’s curiosity rooted in math and logical problem solving.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Electrical Engineering, 4, Bachelor of Science (BSc), Electrical Engineering, 4 at Budapesti Mûszaki és Gazdaságtudományi Egyetem
Master of Science (MSc), Electrical Engineering, Master of Science (MSc), Electrical Engineering at Budapest University of Technology and Economics
English, Hungarian, German