Ariel Weisberg
Software Engineer at Apache Cassandra
Chelmsford, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAriel Weisberg is a software engineer with 16 years of experience building high-performance distributed systems, currently working on Presto at Facebook and now on Apple teams. He was an early engineer on VoltDB during its Vertica incubation and later became an Apache Cassandra committer and PMC member, reflecting deep expertise in distributed databases. Ariel focuses on scalable, reliable, consistently fast systems and on helping other developers adopt them through design, documentation, and tooling. His open-source contributions include practical Presto improvements (Hive connector filtering, S3 positional reads) and enhancing Cassandra CCM testing with Byteman integration—efforts that target real-world correctness and observability. Based in Chelmsford, MA, he combines long-term product evolution experience with hands-on backend and DevOps work across both startups and large tech firms.
16 years of coding experience
18 years of employment as a software developer
Computer Science, Computer Science at Yeshiva UniversityBachelor of Science, Computer Science, Bachelor of Science, Computer Science at Brandeis University
Github Skills (13)
testing10
javas10
hive10
presto10
sql10
python10
cassandra10
java10
build-automation9
devops9
configuration-management9
big-data9
query-optimization9
Programming languages (11)
Github contributions (5)
apache/cassandra-ccm
Dec 2015 - Dec 2018
A script to easily create and destroy an Apache Cassandra cluster on localhost
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:2 reviews, 18 commits, 12 PRs in 3 years
Contributions summary:Ariel primarily contributed to the `apache/cassandra-ccm` repository, focused on improving the testing capabilities of the project. The user implemented features to integrate Byteman, a dynamic bytecode manipulation tool, into the CCM framework, enabling more comprehensive dtests. Additionally, they modified the codebase to fix errors and ensure compatibility with various Cassandra versions, particularly related to changes in CCM method signatures. The user also worked on improving the build process and configuration options to make it easier to change Cassandra versions.
cassandralocalhostapachecassandra-clusterapache-cassandra
prestodb/presto
Aug 2018 - Apr 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:Back-end Developer
Back-end DeveloperContributions:306 reviews, 59 commits, 110 PRs in 3 years 8 months
Contributions summary:Ariel primarily focused on enhancing the Presto distributed SQL query engine. Their contributions include enabling tuple domain extraction for subfields in the Hive connector, which involved optimizing expressions for accurate filter application. They also updated documentation to reflect changes in how decimal literals are parsed. Furthermore, the user added a test case to verify PrestoS3InputStream's positional read functionality with EOS.
distributed-sqlquerybigdataquery-enginesql
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