Vasileios Giannokostas is a Data Engineering Architect with 11 years of experience designing scalable data platforms, ML pipelines, and real-time analytics across telecom and enterprise environments. Based in Stockholm, he has led data architecture and solution design at Dun & Bradstreet and Telenor IoT, working extensively with AWS, data warehousing, and operational analytics for fraud and device performance. His background in security research at Ericsson—covering anomaly detection, adversarial ML and differential privacy—gives him a strong edge in building robust, privacy-aware data systems. Comfortable moving between research and production, he pairs distributed systems expertise from an MSc at KTH with hands-on pipeline engineering and a history of crafting policy-driven resource scheduling for Hadoop ecosystems. Colleagues know him as an original thinker and pragmatic problem-solver who seeks the hardest projects to continuously learn and share knowledge.
11 years of coding experience
8 years of employment as a software developer
MSc, Software Engineering of Distributed Systems, MSc, Software Engineering of Distributed Systems at KTH Royal Institute of Technology
Master of Engineering (M.Eng.), Computer Engineering & Informatics, Master of Engineering (M.Eng.), Computer Engineering & Informatics at University of Patras
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Vasileios Giannokostas - Data Engineering Architect