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Rashmi

PROFILE

Rashmi

Worked on enhancing data ingestion reliability for the opensearch-project/data-prepper repository by addressing a configuration issue in AWS Kinesis stream retrieval. Focused on correcting how retrieval configuration was applied to the Kinesis Client Library scheduler’s polling strategy, ensuring consistent and accurate propagation of settings throughout the scheduler lifecycle. Introduced a dedicated retrieval configuration holder to streamline scheduling behavior and facilitate future updates. Added targeted regression tests in Java to verify the fix and prevent similar issues. This work improved the stability and maintainability of Kinesis data ingestion, leveraging expertise in Java, AWS Kinesis, and general software development best practices.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
31
Activity Months1

Work History

January 2025

1 Commits

Jan 1, 2025

In January 2025, I focused on stabilizing data ingestion reliability for Kinesis streams within opensearch-project/data-prepper by correcting how retrieval configuration is applied to the KCL scheduler's polling strategy. The fix prevents misconfiguration in polling behavior and ensures retrieval settings are consistently honored across the scheduler lifecycle. I added targeted tests to verify this scenario and prevent regressions.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

AWS KinesisJavaSoftware Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

opensearch-project/data-prepper

Jan 2025 Jan 2025
1 Month active

Languages Used

Java

Technical Skills

AWS KinesisJavaSoftware Development