Tom Lane
Senior Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top School
Top expert inDistributed Database Technologies and Analytics Platforms
Tom Lane is a seasoned Senior Software Engineer in San Francisco with 27 years of experience building backend systems, product-focused UX, and distributed services for companies like Google, Fitbit, and Adobe. He combines deep database and backend expertise—evident from substantive contributions to the PostgreSQL project—with product instincts honed by founding a startup that prototyped Java/Dropwizard/AWS solutions and produced hundreds of UI mockups. At Fitbit he led teams handling billions of requests per day, and at Adobe he drove data-centric features for developer tooling and large-scale app support. Currently at Google, he continues to blend systems-level problem solving with product-minded design. A practical polyglot with a rare mix of open-source database work and hands-on startup customer research, he brings both engineering rigor and direct user empathy to complex systems.
27 years of coding experience
22 years of employment as a software developer
University of Rochester
Github Skills (15)
c1710
databases10
postgresql10
c1110
database10
database-optimization9
optimization9
sql9
optimisation9
query-optimization9
memory-management8
data-structures8
data-structure8
bison7
flex7
Programming languages (5)
Github contributions (5)
postgres/postgres
Oct 1998 - Jan 2023
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
Role in this project:
Backend Developer & Database Engineer
Backend Developer & Database EngineerContributions:29439 commits in 24 years 8 months
Contributions summary:Tom primarily focused on backend development within the PostgreSQL ecosystem, contributing to the improvement of database functionalities and data handling. Their work involved addressing issues related to array manipulation within the executor, including fixing code for nested arrays and preventing potential size overflows. They also worked on enhancing the efficiency of the database engine's data processing, specifically addressing performance bottlenecks related to indexing and data access.
patchgit-repositorypull-requestspostgrespostgresql
babelfish-for-postgresql/postgresql_modified_for_babelfish
Aug 2021 - Nov 2022
Contributions:455 commits in 1 year 3 months
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