Kanthi Pavuluri is a Principal Engineer based in Bengaluru with over a decade of experience designing distributed systems, microservices, and orchestration across multiple cloud platforms. Strong in systems programming with Python, C, C++, and Go, she brings deep domain expertise in networking and large-scale data engineering. Her career spans senior engineering roles at Juniper Networks, Walmart Global Tech, Nokia, and TCS, where she focused on resilient backend architectures and operational excellence. An active open-source contributor, she has added tests and backend fixes to high-profile projects like Apache Airflow and Debezium, improving integration reliability and JDBC-based offset storage. Colleagues rely on her for pragmatic refactors that reduce technical debt and for translating networking constraints into scalable data pipelines. She combines low-level systems instincts with hands-on data tooling (Airflow, Kafka Connect, ClickHouse, Spark) to deliver production-ready, observable platforms.
10 years of coding experience
11 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend & DevOps Engineer
Contributions:157 reviews, 95 PRs, 286 comments in 1 year 10 months
Contributions summary:Kanthi primarily contributed to adding unit tests for various provider hooks within the Apache Airflow project. Their work focused on testing integrations with external services like Yandex, Jenkins, and Neo4j. They also made improvements to existing test structures and added tests for new features. The contributions demonstrate a focus on testing and verifying the functionality of different components within the Airflow ecosystem.
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Role in this project:
Backend Developer
Contributions:11 reviews, 6 PRs, 24 comments in 6 months
Contributions summary:Kanthi primarily contributed to the JDBC storage module within the Debezium project, focusing on enhancements and bug fixes related to offset storage and schema history. Their work involved refactoring code to utilize JDBC URLs instead of URIs, implementing configurable insert and delete queries, and changing the encoding of JDBC offset data. They also added and modified various configurations for JDBC-based offset storage and schema history, and addressed PR review comments.
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