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Kaiqi Dong

PROFILE

Kaiqi Dong

Worked on backend data infrastructure, focusing on predicate pushdown and observability improvements across open-source repositories. In apache/iceberg-rust, implemented isnan() predicate pushdown from DataFusion into Iceberg’s IsNan/NotNan predicates, enabling efficient file pruning for float and double columns by leveraging manifest nan_value_counts. Developed a runtime translator to map scalar functions and handled automatic negation, with comprehensive test coverage to ensure correctness and IO efficiency. In apache/fluss, addressed a scanner metrics reporting issue by correcting a metric name typo in Java, improving monitoring reliability and reducing false positives. Demonstrated skills in Rust, Java, data engineering, and database integration.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
60
Activity Months2

Your Network

82 people

Work History

June 2026

1 Commits

Jun 1, 2026

June 2026 monthly summary for the apache/fluss repository focused on improving observability and data quality through targeted bug fixes in the scanner metrics reporting. The patch corrected a typo in the scanner metric name, preventing misreported metrics and enabling reliable dashboards and alerts. This work reduces monitoring drift and supports data-driven decision making across product and operations teams.

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for apache/iceberg-rust: Implemented predicate pushdown of isnan() from DataFusion into Iceberg’s IsNan/NotNan predicates, enabling more efficient file pruning via manifest nan_value_counts for float/double columns. Introduced a runtime translator (scalar_function_to_iceberg_predicate) to map isnan(col) to Iceberg’s Unary(IsNan, col) and added automatic negation handling for NOT isnan(col) through the existing rewrite_not path. Added tests validating pushdown correctness and pruning behavior. This work tightens DataFusion-Iceberg integration, reduces IO, and aligns with Iceberg manifest pruning spec. Commits include 4f5274a8afd835e746167e48683207b71b20115a (feat(datafusion): support isnan predicate pushdown to Iceberg).

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaRust

Technical Skills

JavaRustbackend developmentdata engineeringdata processingdatabase integration

Repositories Contributed To

2 repos

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

apache/iceberg-rust

Feb 2026 Feb 2026
1 Month active

Languages Used

Rust

Technical Skills

Rustdata engineeringdata processingdatabase integration

apache/fluss

Jun 2026 Jun 2026
1 Month active

Languages Used

Java

Technical Skills

Javabackend development