opensearch-project/data-prepper
Oct 2024 – May 2026
9 Months active
Languages Used
JavaGradleYAMLTypeScript
Technical Skills
Configuration ManagementPlugin DevelopmentAWS SDKBackend DevelopmentAWSAWS DynamoDB
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
85%Features
Repository Contributions
15Total
Bugs
2
Commits
15
Features
11
Lines of code
3,024
Activity Months9
Your Network
62 peopleWork History
May 2026
3 Commits • 1 Features
May 1, 2026Month: May 2026 (2026-05) - Data Prepper (opensearch-project/data-prepper) Key features delivered: - Upgraded Kinesis Client Library from 2.6.0 to 2.7.2 to unlock improved functionality, performance, and compatibility with latest features and fixes. Commit: 4b580c3783d6f772f0cc1b2cfc77efe80c590a7c. Major bugs fixed: - Kinesis Source tests reliability and security improvements: tightened backoff configuration and handling, and secured test configuration by using a secret for AWS region to enhance reliability and security of Kinesis source tests. Commits: 15cfdea24c56b4aac9d049a78f32edd733e2a80b; 1a5e0c9af8559a0d69b9bb0ddc8cf0c38e9c2e7b. Overall impact and accomplishments: - Improved data ingestion reliability, reduced test flakiness, and strengthened security posture for Kinesis data sources; ensured continued compatibility with latest AWS KCL features. These changes lay the groundwork for more stable, scalable data pipelines and faster incident resolution. Technologies/skills demonstrated: - AWS Kinesis Client Library upgrades, integration testing hardening, secret-based configuration, backoff strategies, and secure test configurations. Business value: - Higher pipeline reliability and predictable performance for real-time data ingestion; reduced risk in deployments and faster feedback loops for downstream consumers.
3 Commits • 1 Features
May 1, 2026Month: May 2026 (2026-05) - Data Prepper (opensearch-project/data-prepper) Key features delivered: - Upgraded Kinesis Client Library from 2.6.0 to 2.7.2 to unlock improved functionality, performance, and compatibility with latest features and fixes. Commit: 4b580c3783d6f772f0cc1b2cfc77efe80c590a7c. Major bugs fixed: - Kinesis Source tests reliability and security improvements: tightened backoff configuration and handling, and secured test configuration by using a secret for AWS region to enhance reliability and security of Kinesis source tests. Commits: 15cfdea24c56b4aac9d049a78f32edd733e2a80b; 1a5e0c9af8559a0d69b9bb0ddc8cf0c38e9c2e7b. Overall impact and accomplishments: - Improved data ingestion reliability, reduced test flakiness, and strengthened security posture for Kinesis data sources; ensured continued compatibility with latest AWS KCL features. These changes lay the groundwork for more stable, scalable data pipelines and faster incident resolution. Technologies/skills demonstrated: - AWS Kinesis Client Library upgrades, integration testing hardening, secret-based configuration, backoff strategies, and secure test configurations. Business value: - Higher pipeline reliability and predictable performance for real-time data ingestion; reduced risk in deployments and faster feedback loops for downstream consumers.
May 2026
April 2026
1 Commits
Apr 1, 2026April 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.
April 2026
1 Commits
Apr 1, 2026April 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, 2026Month: 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.
1 Commits • 1 Features
Jan 1, 2026Month: 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.
January 2026
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 monthly summary focusing on key accomplishments, business value, and technical achievements for opensearch-project/data-prepper.
May 2025
1 Commits • 1 Features
May 1, 2025Month: 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, 2025February 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.
1 Commits • 1 Features
Feb 1, 2025February 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.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 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).
January 2025
1 Commits • 1 Features
Jan 1, 2025January 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, 2024December 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.
4 Commits • 4 Features
Dec 1, 2024December 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.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024Month: 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.
November 2024
2 Commits • 1 Features
Nov 1, 2024Month: 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, 2024October 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.
1 Commits • 1 Features
Oct 1, 2024October 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.
October 2024
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Quality Metrics
Correctness94.0%
Maintainability90.0%
Architecture86.6%
Performance84.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
GradleJavaTypeScriptYAML
Technical Skills
AWSAWS DynamoDBAWS SDKBackend DevelopmentBuild AutomationCI/CDConfiguration ManagementContinuous IntegrationData EngineeringData StreamingDevOpsDistributed SystemsError HandlingException HandlingGitHub Actions
Repositories Contributed To
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