Justin Levandoski

My interests span a broad range of topics dealing with large-scale data managment. I am currently an Engineering Director at Google working on BigQuery, where I lead the AI/ML portfolio spanning BQML, Vector Indexing, Search, integration of unstructured data, and BigQuery DataFrames. Prior to that I founded the BigLake project to unify data lake and warehouse capabilities within BigQuery, and extend BigQuery's reach to unstructured data through Object Tables to extend BigQuery's AI/ML platform capabilities for customers.

Prior to Google, I was a principal engineer at Amazon Web Services (AWS), where I worked on Amazon Aurora, a cloud-native database system. Before that, I was a member of the database group at Microsoft Research, where I worked on main-memory databases, database support for new hardware platforms, transaction processing, and cloud computing. My research was commercialized in a number of Microsoft products, including the SQL Server Hekaton main-memory database engine, Azure CosmosDB, Azure SQL Hyperscale, and bing. I continue to stay involved at the intersection of industry and research serving on program and organizing committees for top database conferences such as ACM SIGMOD, VLDB, CIDR, and HPTS.

BigLake Paper

BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse" was recently presented at SIGMOD 2024 -- check it out!
Modern Main Memory Database Systems

If you are looking for resources that describe the modern main-memory database landscape, please follow this link containing a survey and tutorial slides free of charge.

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