Summary
Daniel Molnar is a Senior Analytics Engineer and seasoned data generalist with 13 years in engineering and 20 years building teams and products across startups and enterprise. He designs pragmatic, GDPR-conscious data stacks and shipping-focused pipelines—having led data work at Shopify, Microsoft, Zalando, and multiple startups—and now drives analytics at Earlybird VC while co-running a data engineering academy. A self-described "Data Janitor," he blends hands-on ELT, reverse ETL, master data and data quality work with product and CS instincts to turn messy signals into market-ready capabilities. He’s an active community builder in Berlin (Data Natives, Data Council) and co-created one of the first data engineering bootcamps, a detail that speaks to his emphasis on teaching and scaling teams as well as systems.
13 years of coding experience
15 years of employment as a software developer
BA Learning Technology and Research, BA Learning Technology and Research at Anglia Ruskin University
BS Computer Science, BS Computer Science at University of Szeged
BSc Economist Tourism/Hospitality, BSc Economist Tourism/Hospitality at Kodolányi János University
English, Hungarian, German