Aakash Shah
Software Engineer at Miter
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAakash Shah is a software engineer with a decade of experience building reliable, production-grade systems across startups and large tech organizations, currently at Miter after senior roles at Cortex and Confluent. He bridges full-stack and systems work—shipping backend reliability features for Confluent’s Kafka Connect JDBC connector (including DLQ and transaction rollback) and delivering production engineering solutions at Facebook that streamlined payments binary deployment. Aakash pairs strong engineering chops with product and team leadership, evidenced by his VP role at a UC Berkeley consulting group and frequent side projects that explore emerging tech. Comfortable across Python, Java/Scala ecosystems, and web UI stacks, he excels at turning complex reliability and data-integration problems into practical, tested solutions.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (11)
javas10
kafka-connect10
sql10
jdbc10
java10
testing9
confluent9
kafka9
error-handling9
database-management8
streaming8
Programming languages (2)
Github contributions (5)
confluentinc/kafka-connect-jdbc
Oct 2020 - May 2022
Kafka Connect connector for JDBC-compatible databases
Role in this project:
Backend Developer
Backend DeveloperContributions:54 reviews, 15 commits, 13 PRs in 1 year 7 months
Contributions summary:Aakash primarily focused on enhancing the JDBC Sink connector for JDBC-compatible databases. Their contributions involved implementing Dead Letter Queue (DLQ) support, improving error reporting mechanisms, and incorporating transaction rollback functionality to handle invalid transactions. They also added integration tests and addressed various code style and build issues, demonstrating a focus on improving the reliability and robustness of the connector. The user's work involved modifications to the core JDBC Sink task and associated tests.
databasedatabasesjdbckafka-connectconfluent
aakashnshah/kafka
May 2020 - May 2023
Mirror of Apache Kafka
Contributions:1 PR, 17 pushes, 6 branches in 3 years
kafka-streamsapache-kafkasinkksqldbapache
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