Summary
Tamas Stefanovits is a data engineer with eight years of hands-on experience designing, optimizing and operating cloud-native data platforms across Azure, AWS and Databricks. He has led audits and day-to-day operations of hundreds of pipelines, driving cost, security and scalability improvements while translating business needs into optimized data models and dashboards. His background spans performance tuning of databases, Spark query optimization, and automation of large-scale VM-based processing—skills honed across consulting engagements for energy, manufacturing and CDP startups. Comfortable as a technical point of contact, he blends client-facing communication with deep technical delivery, from ETL and data quality frameworks to MLflow-aware Databricks deployments. Based in Amsterdam, he also brings an educator’s mindset from running Data Science courses and mentoring international cohorts, which helps him simplify complex data problems for stakeholders. Not obviously, his career began in HR and large-scale user migrations, giving him a practical appreciation for operational nuance and change management in data projects.
7 years of coding experience
5 years of employment as a software developer
Youth Helper, Youth Helper at International Pető András Institute of Conductive Education
Kindergarten Teacher (Incomplete), Education, Kindergarten Teacher (Incomplete), Education at Eötvös Loránd University
English, Hungarian