Haralampos Gavriilidis

Technische Universität Berlin

Haralampos (Harry) Gavriilidis is a data systems researcher and incoming postdoctoral researcher at ICSI / UC Berkeley, focusing on cross-platform and federated query processing, optimizer design, and execution across heterogeneous engines. He recently earned his PhD from TU Berlin, where he built systems for decentralized federated query processing and adaptive cross-system data transfer. His work has appeared at leading data management conferences such as SIGMOD, VLDB, and ICDE.

Beyond papers and prototypes, Harry enjoys explaining complex data systems to real audiences. He has spoken at practitioner conferences such as PGConf and also won a science slam competition for making database research stage-friendly. He is also an active community volunteer, supporting events like Berlin Buzzwords, FOSS Backstage, and Flink Forward. Before academia, he worked as a full stack web developer.

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Why Choose One: Multi-Engine Analytics with Apache Wayang

Talk

Choosing the best engine for each data task sounds right, but in modern data stacks doing so requires expertise and effort. Apache Wayang, a recently graduated TLP, addresses this by decoupling logical dataflows from execution engines. From big data platforms to SQL and ML engines, Wayang enables cross-platform execution that maximizes performance.