EXCEEDS logo
Exceeds
Souvik Bose

PROFILE

Souvik Bose

Worked extensively on the opensearch-project/data-prepper repository, delivering features and reliability improvements for data ingestion pipelines. Focused on backend development using Java and AWS SDK, the work included enhancing Kinesis and Kafka source plugins for configurability, cross-account support, and robust error handling. Implemented metrics instrumentation with Micrometer to improve observability and capacity planning, and introduced automated CI workflows using GitHub Actions for integration testing. Addressed data quality by adding UTF-8 validation and descriptive exception handling, ensuring stable and maintainable pipelines. The approach emphasized clear configuration management, comprehensive testing, and maintainable code changes to support scalable, production-grade data streaming solutions.

Overall Statistics

Feature vs Bugs

91%Features

Repository Contributions

12Total
Bugs
1
Commits
12
Features
10
Lines of code
2,985
Activity Months8

Work History

April 2026

1 Commits

Apr 1, 2026

April 2026 monthly summary for opensearch-project/data-prepper: Focused on reliability improvements in Kinesis ingestion and UTF-8 data handling to strengthen data quality and pipeline stability.

January 2026

1 Commits • 1 Features

Jan 1, 2026

Month: 2026-01 — Delivered STS Headers Support in Kafka Source Configuration for opensearch-project/data-prepper, enabling AWS STS-based role assumption customization in Kafka ingestion. Implemented validation for maximum headers and expanded tests to improve reliability and security. Included minor code changes to support passing override config for this feature. Commit reference: a8ca51505472db89321f185ccfbe6f475b3c5aee.

May 2025

1 Commits • 1 Features

May 1, 2025

Month: 2025-05 monthly summary focusing on key accomplishments, business value, and technical achievements for opensearch-project/data-prepper.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025: Focused improvement to error handling in opensearch-project/data-prepper by introducing a dedicated KinesisStreamNotFoundException. This enhancement provides descriptive messages when a Kinesis stream is missing, enabling faster diagnosis and reducing troubleshooting time. The change includes tests updated to cover the new exception path and verify the descriptive messaging. Impact: clearer logs and error surfaces for operators and developers, improved reliability of Kinesis data stream intake, and smoother incident response. Technologies/skills demonstrated: Java exception design, targeted unit/integration tests, clear error messaging, and maintainable code changes with commit-level traceability.

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025 (2025-01) monthly summary for opensearch-project/data-prepper. Key features delivered: Added DistributionSummary metrics for the Kinesis Data Streams (KDS) source to report bytesReceived and bytesProcessed per incoming record, improving visibility into data throughput and enabling better capacity planning. Major bugs fixed: No major bugs reported for this repository in January 2025. Overall impact and accomplishments: Strengthened observability and data ingestion capacity planning, enabling data-driven scaling decisions and more reliable SLA adherence for KDS-based ingestion. Technologies/skills demonstrated: Metrics instrumentation (DistributionSummary), observable data pipelines, change management via commit-based delivery (commit 795401fd0be1c31ba801efded999937af5d46420).

December 2024

4 Commits • 4 Features

Dec 1, 2024

December 2024 monthly summary for opensearch-project/data-prepper: Delivered key features to strengthen data ingestion reliability, automated testing, and observability; introduced TTL-based lifecycle for source coordination items; improved CI for cross-environment validation. The work enhances data pipeline stability, reduces operational risk, and improves visibility for faster diagnosis and faster time-to-value for users.

November 2024

2 Commits • 1 Features

Nov 1, 2024

Month: 2024-11 — Data Prepper Kinesis Source enhancements focused on configurability and discoverability. Implemented pipeline-level identification and naming standardization to improve multi-pipeline management and plugin discovery across deployments.

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024 focused on improving plugin clarity and consistency in the data-prepper project by renaming the Kinesis source plugin to kinesis-data-streams. This change preserves all core functionality while adding an alias in DataPrepperPlugin to reduce confusion and improve plugin identification for users and contributors.

Activity

Loading activity data...

Quality Metrics

Correctness97.6%
Maintainability92.6%
Architecture88.4%
Performance85.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GradleJavaYAML

Technical Skills

AWSAWS DynamoDBAWS SDKBackend DevelopmentBuild AutomationCI/CDConfiguration ManagementData EngineeringData StreamingDistributed SystemsError HandlingException HandlingGitHub ActionsIntegration TestingJava

Repositories Contributed To

1 repo

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

opensearch-project/data-prepper

Oct 2024 Apr 2026
8 Months active

Languages Used

JavaGradleYAML

Technical Skills

Configuration ManagementPlugin DevelopmentAWS SDKBackend DevelopmentAWSAWS DynamoDB