Natea Beshada
Senior Software Engineer at Confluent
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNatea Beshada is a Senior Software Engineer at Confluent with four years of hands-on experience building and optimizing stream-processing systems, primarily on ksqlDB and Apache Flink. She has shipped backend features and performance improvements—working on HTTP/2 query endpoints, transient query lifecycle, bandwidth throttling, and metrics for scalable push queries—that demonstrate a focus on reliability and operational efficiency at scale. A Harvard CS graduate, she started at Confluent as an intern where she designed and implemented suppression for time-based windows, later integrating it into Confluent Cloud with a dynamically sized buffer. Her background in data-science internships shows a knack for speeding up pipelines and reducing cloud costs, combining algorithmic thinking with pragmatic engineering. Based in Palo Alto, she blends strong systems-level backend expertise with a collaborative, design-oriented approach to shipping features that address real customer pain points.
4 years of coding experience
4 years of employment as a software developer
Governor General's Medal, Governor General's Medal at Kelvin High SchoolBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Harvard University
Github Skills (6)
javas10
stream-processing10
java10
ksqldb10
kafka9
sql8
Programming languages (3)
Github contributions (5)
confluentinc/ksql
Jun 2021 - Sep 2022
The database purpose-built for stream processing applications.
Role in this project:
Backend Developer
Backend DeveloperContributions:127 reviews, 269 commits, 124 PRs in 1 year 2 months
Contributions summary:Natea primarily contributed to the backend of the ksqlDB project, focusing on bug fixes and feature enhancements. Their work included resolving issues related to HTTP2 query endpoints, transient query IDs, and the termination of transient queries. They also made changes to improve bandwidth throttling for scalable push queries and the addition of metrics for scalable push queries, demonstrating a focus on performance and query management.
materialized-viewsstream-processingstreaming-queriesksqldbsql
nateab/ksql
Jun 2021 - Apr 2022
The database purpose-built for stream processing applications.
Contributions:101 pushes, 47 branches in 9 months
stream-processingstreaming-datacomplex-event-processingdata-streamdata-processing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.