opensearch-project/data-prepper
Jul 2025 – Aug 2025
2 Months active
Languages Used
Java
Technical Skills
AWS SDKConcurrencyDistributed SystemsJavaRefactoringTesting
Jonah Calvo
PROFILE
Jonah Calvo
Jonah Cal built and enhanced streaming ingestion reliability for the opensearch-project/data-prepper repository, focusing on DynamoDB Streams. He implemented per-shard checkpointing by introducing a ShardAcknowledgementManager, refactoring core components to decouple acknowledgment logic and improve fault tolerance during shard rebalances and restarts. Using Java and the AWS SDK, Jonah addressed critical failure points by finalizing shard processing to prevent partial data ingestion and normalizing null messages in the Dead Letter Queue to avoid runtime errors. His work demonstrated depth in distributed systems, concurrency, and error handling, resulting in more predictable data ingestion and improved operational resilience for streaming architectures.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
1,212
Activity Months2
Your Network
1413 people
Work History
August 2025
2 Commits
Aug 1, 2025Month: 2025-08 — Focused on reliability and data integrity for streaming ingestion in opensearch-project/data-prepper. Delivered two critical bug fixes: DynamoDB Streams shard finalization to prevent partial processing and DLQ null-message normalization to avoid NPE, with tests added for DLQ handling. These changes reduce data loss risk, improve resiliency, and demonstrate proficiency in streaming architectures, Java, and test coverage.
2 Commits
Aug 1, 2025Month: 2025-08 — Focused on reliability and data integrity for streaming ingestion in opensearch-project/data-prepper. Delivered two critical bug fixes: DynamoDB Streams shard finalization to prevent partial processing and DLQ null-message normalization to avoid NPE, with tests added for DLQ handling. These changes reduce data loss risk, improve resiliency, and demonstrate proficiency in streaming architectures, Java, and test coverage.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for opensearch-project/data-prepper: Delivered per-shard checkpointing for the DynamoDB stream source via ShardAcknowledgementManager, integrating it with ShardConsumer and StreamScheduler. This refactor decouples acknowledgment logic from core processing, improving reliability, fault tolerance, and operational visibility for DynamoDB streaming. The change reduces risk during shard rebalances and restarts and lays the groundwork for future resilience enhancements. Business value includes more predictable ingestion, easier troubleshooting, and smoother scaling of DynamoDB-based data ingestion.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for opensearch-project/data-prepper: Delivered per-shard checkpointing for the DynamoDB stream source via ShardAcknowledgementManager, integrating it with ShardConsumer and StreamScheduler. This refactor decouples acknowledgment logic from core processing, improving reliability, fault tolerance, and operational visibility for DynamoDB streaming. The change reduces risk during shard rebalances and restarts and lays the groundwork for future resilience enhancements. Business value includes more predictable ingestion, easier troubleshooting, and smoother scaling of DynamoDB-based data ingestion.
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Quality Metrics
Correctness96.6%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AWS SDKBackend DevelopmentConcurrencyData ProcessingDistributed SystemsDynamoDB StreamsError HandlingJavaRefactoringTesting
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