Prathibha Vooda
Senior Software Engineer at Oracle
Sammamish, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPrathibha Vooda is a Senior Software Engineer with 8 years' experience building reliable, scalable data infrastructure and connectors, now at Oracle after shaping cloud control plane scalability at Confluent. She has deep hands-on expertise in Kafka Connect internals—contributing to widely used open-source connectors for HDFS and JDBC, including Avro/Parquet handling, failure recovery, and schema/hive integrations. Comfortable across backend systems, database dialects, and test automation, she combines rigorous debugging and on-call experience with a continuous-learning mindset rooted in practical application. A USC MS graduate who started in networking at Google and Juniper, she brings a systems-first perspective that surfaces subtle failure modes and improves operational resilience.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaDAV Senior Secondary school, Gopalapuram, ChennaiBachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at PSG College of Technology
English, Tamil, Hindi
Stackoverflow
1reputation
0reached
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Github Skills (15)
javas10
avro10
kafka10
hdfs10
kafka-connect10
apache-kafka10
sqlite10
hadoop10
jdbc10
java10
streaming10
testing9
parquet9
hive8
git7
Programming languages (3)
Github contributions (5)
confluentinc/kafka-connect-hdfs
Oct 2020 - Sep 2021
Kafka Connect HDFS connector
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 16 commits, 10 PRs in 10 months
Contributions summary:Prathibha's contributions primarily involve modifying core components of the Kafka Connect HDFS connector. They focused on implementing and modifying how Avro data is handled within the connector, as evident from changes to the `AvroFormat`, `ParquetFormat`, and `HdfsSinkTask` classes. A significant portion of their work also addressed failure recovery mechanisms, including writing to the write ahead log, and handling failures during file commits, demonstrating a deep understanding of the connector's data processing workflow. The user also made changes related to schema compatibility and the Hive integration.
sinkapache-kafkakafka-connectorconnectorkafka-connect-hdfs
confluentinc/kafka-connect-jdbc
Mar 2019 - Mar 2019
Kafka Connect connector for JDBC-compatible databases
Role in this project:Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:6 commits, 10 PRs, 6 pushes in 1 day
Contributions summary:Prathibha contributed to the JDBC Kafka Connect connector by fixing a timestamp parsing error related to SQLite databases, which involved modifying the database dialect and test files. They also merged branches and made updates to test cases, which suggests involvement in code maintenance and testing. The user demonstrated familiarity with the JDBC connector's internal workings and database interactions.
sinkkafka-connectorconnectorstreamingdatabases
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