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Swapna Marru

PROFILE

Swapna Marru

Over five months, contributed to the apache/iceberg and apache/flink repositories by building features that enhanced data engineering workflows and streaming reliability. Developed CREATE TABLE LIKE support and custom source parallelism configuration for Flink Iceberg integration, enabling schema inheritance and flexible resource allocation through SQL and table properties. Implemented source watermark support and dynamic multi-table routing, improving event-time correctness and scalable data ingestion. Expanded Flink’s Variant data model to support JSON serialization and semi-structured data, leveraging Java and SQL for robust data processing. Focused on cross-version compatibility, comprehensive test coverage, and documentation, with work spanning API development, configuration management, and web updates.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

12Total
Bugs
0
Commits
12
Features
8
Lines of code
7,446
Activity Months5

Work History

February 2026

4 Commits • 2 Features

Feb 1, 2026

February 2026 performance snapshot focused on expanding data model expressiveness and pipeline flexibility. Delivered JSON-competent Variant data handling in Flink and dynamic, multi-table routing for Iceberg sinks, enabling richer semi-structured data support and scalable data lake routing with configurable record generation.

November 2025

2 Commits • 2 Features

Nov 1, 2025

November 2025 highlights for apache/flink-web: Delivered documentation and site-maintenance work focused on improving user onboarding and web reliability. No major bugs fixed this month.

August 2025

2 Commits • 1 Features

Aug 1, 2025

Concise monthly summary for 2025-08 focused on apache/iceberg. Implemented a feature to configure custom source parallelism for Iceberg tables in Flink, with configuration available via table properties or query hints (hints take precedence over properties). The change was delivered through two commits: 8ce6b9529bc466f7d8e0677e0d9e9485a770e361 (Flink: support source parallelism config via property or hint) and fd5d46982e48252fecaf186531660ac509b43bbe (Flink: Backport#13878 custom source parallelism).

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025: Delivered source watermark support for Flink SQL on Iceberg Tables, enabling SupportsSourceWatermark in IcebergTableSource with validation for watermark-column and Flip-27 source implementation. Implemented test coverage validating both valid and invalid watermark configurations. Backported the change to Flink SQL windows (commit: 2e1577e62bf023daddb0ad7aec5ce6f094fb98dc) to broaden ecosystem compatibility.

March 2025

3 Commits • 2 Features

Mar 1, 2025

Monthly Summary - 2025-03 Focus: Feature delivery and cross-version compatibility for Flink Iceberg integration, with an emphasis on reducing operational friction and improving correctness in streaming workflows. Key features delivered: - Flink Iceberg: CREATE TABLE LIKE support in Flink catalogs. Enables inheriting schema, properties, and metadata; ensures catalog properties are propagated during table creation. Backport implemented to Flink v1.18 and v1.19 to widen audience and upgrade paths. Commits: ffe9ad501f932ffa64ce4b9a8f58ccb29e73990c; d945cde3c289bfdf61cf4352a7089d1d6462f41b. - Flink Iceberg: Source Watermark support in SQL windows. Introduces SupportsSourceWatermark interface and watermark-column validation; includes tests for valid and invalid watermark configurations in Iceberg-backed Flink SQL windows. Commit: 2c746e6785a392fe0abc0eb9f0ec3e3dd674f4d7. Major bugs fixed: - No high-severity bugs reported this month; the team focused on feature delivery and cross-version compatibility with accompanying tests and validations. Overall impact and accomplishments: - Enhanced interoperability between Flink and Iceberg through schema/property inheritance and robust watermark handling in SQL windows. - Reduced operational overhead by providing cross-version support and backports, enabling broader adoption and smoother upgrade paths. - Improved correctness and reliability of streaming window processing with event-time semantics in Iceberg-backed pipelines. Technologies/skills demonstrated: - Apache Iceberg, Apache Flink integration, SQL windowing with watermarks - Catalog property propagation, CREATE TABLE LIKE semantics - Cross-version backporting (Flink v1.18/v1.19) and test-driven validation - Test coverage for watermark configurations and validation

Activity

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Quality Metrics

Correctness96.6%
Maintainability90.0%
Architecture93.4%
Performance83.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

HTMLJavaJavaScriptMarkdownSQLYAML

Technical Skills

API DevelopmentApache FlinkApache IcebergBackportingCatalog APICatalog ManagementConfiguration ManagementData EngineeringData ProcessingData StructuresDatabase ManagementFlinkHTMLIcebergJava

Repositories Contributed To

3 repos

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

apache/iceberg

Mar 2025 Feb 2026
4 Months active

Languages Used

JavaSQL

Technical Skills

Catalog APICatalog ManagementData EngineeringFlinkIcebergSQL

apache/flink-web

Nov 2025 Nov 2025
1 Month active

Languages Used

HTMLJavaScriptMarkdown

Technical Skills

Apache FlinkApache IcebergHTMLJavaScriptdata engineeringfront end development

apache/flink

Feb 2026 Feb 2026
1 Month active

Languages Used

JavaYAML

Technical Skills

API DevelopmentData ProcessingData StructuresJavaSQLUnit Testing