
Developed end-to-end Amazon Kinesis data ingestion integration for the apache/doris repository, enabling Doris to consume streaming data directly from Kinesis streams. The work involved implementing Kinesis data consumers in C++, designing configuration management for Kinesis API parameters, and adding metrics tracking to improve observability and reliability of data loading. By aligning the Kinesis ingestion workflow with existing Kafka routine load support, the integration expanded Doris’ streaming capabilities and enhanced its data engineering flexibility. The feature was delivered through focused pull requests with thorough testing and review, ensuring maintainability and code quality for ongoing stream processing and AWS-based data workflows.
May 2026: Implemented Amazon Kinesis data ingestion integration for Apache Doris, introducing end-to-end Kinesis routine load support that mirrors the Kafka routine load workflow. Delivered Kinesis data consumers, metrics tracking, and configuration management for Kinesis API parameters, expanding Doris' streaming ingestion capabilities and improving data loading reliability.
May 2026: Implemented Amazon Kinesis data ingestion integration for Apache Doris, introducing end-to-end Kinesis routine load support that mirrors the Kafka routine load workflow. Delivered Kinesis data consumers, metrics tracking, and configuration management for Kinesis API parameters, expanding Doris' streaming ingestion capabilities and improving data loading reliability.

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