Bence Szatmari is a Senior Data Engineer based in Hungary with 11 years of experience building data pipelines, scalable APIs and machine learning-backed systems across startups and product companies. He has progressed from web and Flash development into data engineering roles focused on NLP, recommender systems and large-scale data processing on Spark and Mesos, most recently leading data efforts at DATAPAO. His background includes hands-on R&D at Lensa where he combined web crawling, ETL and ML in production, and a stint leading business development that sharpened his product and cross-functional communication skills. Comfortable across Python, distributed pipelines and production APIs, he brings a pragmatic mix of research-oriented experimentation and delivery-focused engineering. An unconventional detail: his early training in chemistry hints at a methodical, analytical approach to problem solving that underpins his data work.
10 years of coding experience
12 years of employment as a software developer
Unfinished Chemistry, Unfinished Chemistry at Debreceni Egyetem
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