Sangeet Mishra is a software engineer with 9 years' experience at the intersection of software development, data science, and quantitative finance, currently building and maintaining Kafka Connectors at Confluent. He has shipped production-grade CDC, sink and connector tooling for Confluent Cloud—improving release cadence and reliability—and contributed upstream to the widely used Kafka Connect JDBC connector (notably adding PostgreSQL array support). Prior to Confluent he applied statistical modelling and large-scale data engineering to wholesale credit risk at JPMC, supporting regulatory stress exercises over ~$700B exposure. An IIT Kharagpur graduate and two-time Google Summer of Code contributor/mentor for Mercurial, he blends open-source craftsmanship with rigorous, production-focused engineering in distributed data systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Kharagpur
Kafka Connect connector for JDBC-compatible databases
Role in this project:
Back-end Developer
Contributions:10 reviews, 35 PRs, 20 pushes in 7 months
Contributions summary:Sangeet primarily focused on enhancing the functionality of the JDBC Kafka Connect connector. Their contributions involved adding support for array data types in the PostgreSQL dialect, including default value handling and modifying the array representation. The user also implemented unit and integration tests to validate these changes, ensuring the correct behavior of the connector with PostgreSQL databases. These changes improve the connector's ability to handle diverse data types and scenarios.
Contributions:9 pushes, 1 branch in 6 years 6 months
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