Christina Foley
Principal Software Engineer at Toast
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolChristina Foley is a Principal Software Engineer in Boston with 11 years of experience building and leading backend teams at Toast, progressing from senior engineer to principal and engineering manager roles. She specializes in distributed systems and data-intensive back-end engineering, with contributions to the well-known Presto SQL query engine that include bug fixes, unit tests, and documentation improvements for Hive and Parquet integrations. Christina blends hands-on coding with team leadership, shipping robust JVM-based services and mentoring engineers through architecture and delivery decisions. A Yale computer science graduate, she brings a pragmatic attention to correctness and developer ergonomics—evident from her focus on precise error messaging and test coverage in open-source projects.
11 years of coding experience
12 years of employment as a software developer
Thomas Jefferson High School for Science and TechnologyBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Yale University
Github Skills (13)
unit-testing10
query-engine10
javas10
big-data10
distributed-database10
sql10
java10
documentation10
database9
data-engineering9
hive9
databases9
query-optimization7
Programming languages (6)
Github contributions (5)
prestodb/presto
Jun 2015 - Feb 2019
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:60 commits, 54 PRs, 16 pushes in 3 years 9 months
Contributions summary:Christina primarily contributed to the Presto SQL query engine, focusing on bug fixes and documentation updates. They addressed a typo in an error message related to connector configuration and removed discovery support for the Hive metastore. Further, they updated JVM configuration recommendations and Hive configuration documentation. They also added unit tests for the `date_add` function and tests for reading Parquet by column name, demonstrating a focus on improving the functionality and documentation of the Presto query engine.
distributed-sqlquerybigdataquery-enginesql
prestodb/presto-admin
Mar 2015 - Dec 2016
A tool to install, configure and manage Presto installations
Contributions:3 releases, 179 commits, 126 PRs in 1 year 9 months
ansibleinstallationsconfiguredotfilespresto
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