Amazon
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Sergey Melnik is a Sr. Principal Engineer at Amazon Web Services.
Prior to Amazon, Sergey spent 15 years at Google. He worked on query processing and storage in Spanner, a planet-scale transactional system that powers most of Google services and is available as a Cloud product. Before that, he led the development of the data analysis system called Dremel that was made publicly available as BigQuery, is a fully-managed, serverless data warehouse that enables scalable analytics over petabytes of data.
Before joining Google, Sergey was a researcher in the Database Group at Microsoft Research (2003-2008). His research focused on data integration, model management, object-to-relational and XML-to-relational mapping, and schema matching, much of it with Phil Bernstein and the Data Programmability team in SQL Server. Sergey was as a visiting researcher in the Stanford Database Group (1999-2002), working with Prof. Garcia-Molina and Prof. Wiederhold, and served as an invited expert at the World-Wide Web Consortium.
Sergey received best paper awards at SIGMOD, ICDE and OSDI conferences, 10-year Most Influential Paper Award from ICDE, VLDB Test of Time Award, SIGOPS Hall of Fame Award, and a best dissertation award from the German C.S. Society. He got an M.S. and a Ph.D. in Computer Science from the University of Leipzig, Germany.
Selected publications
Dremel: A Decade of Interactive SQL Analysis at Web Scale. Invited paper for the VLDB'20 Test of Time Award (recorded talk). The award for given for the VLDB'10 paper:
Dremel: Interactive Analysis of Web-Scale Datasets, with A. Gubarev, J. J. Long, G. Romer, S. Shivakumar, M. Tolton, and T. Vassilakis. VLDB'10 (slides). Invited article in CACM Research Highlights, prefaced with Technical Perspective by Mike Franklin.
The Seattle Report on Database Research, with D. Abadi, A. Ailamaki, D. Andersen, P. Bailis, M. Balazinska, P. A. Bernstein, P. A. Boncz, S. Chaudhuri, A. Cheung, A. Doan, L. Dong, M. J. Franklin, J. Freire, A. Y. Halevy, J. M. Hellerstein, S. Idreos, D. Kossmann, T. Kraska, S. Krishnamurthy, V. Markl, T. Milo, C. Mohan, T. Neumann, B. C. Ooi, F. Ozcan, J. Patel, A. Pavlo, R. A. Popa, R. Ramakrishnan, C. Ré, M. Stonebraker, D. Suciu. SIGMOD Rec. 48(4): 44-53 (2019)
Spanner: Becoming a SQL System, with D. Bacon, N. Bales, N. Bruno, B. Cooper, A. Dickinson, A. Fikes, C. Fraser, A. Gubarev, M. Joshi, E. Kogan, A. Lloyd, C. Taylor, R. Rao, D. Shue, M. van der Holst, and D. Woodford. SIGMOD'17
Spanner: Google's Globally-Distributed Database, with J. Corbett, J. Dean, M. Epstein, C. Frost, J. Furman, S. Ghemawat, A. Gubarev, C. Heiser, P. Hochschild, W. Hsieh, S. Kanthak, E. Kogan, H. Li, A. Lloyd, D. Mwaura, D. Nagle, S. Quinlan, R. Rao, L. Rolig, Y. Saito, M. Szymaniak, C. Taylor, R. Wang, and D. Woodford. OSDI'12 (Best Paper, SIGOPS Hall of Fame Award)
Compiling Mappings to Bridge Applications and Databases, with A. Adya and P.A. Bernstein. SIGMOD'07 (Best Paper), journal version (TODS'08)
Selected talks
Dremel: A Decade of Interactive SQL Analysis at Web Scale. VLDB'20 Test of Time Award talk
Spanner's SQL Evolution, Data@Scale 2017, Seattle (pdf)
A Decade after Flooding, 10-year Most Influential Paper Award Talk at ICDE'13 for the Similarity Flooding paper published at ICDE'02
The Frontiers of Data Programmability, Keynote at the German database conference (BTW'09), Münster
Recent program committee service
ICDE'25, SIGMOD'25, SIGMOD'24, CIDR'23, VLDB'22, SIGMOD'21, CIDR'20, SIGMOD'20, VLDB'20