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Sumedh Sakdeo

PROFILE

Sumedh Sakdeo

Worked on the linkedin/openhouse repository, focusing on data infrastructure and developer experience. Built a TrinoClient with a factory pattern to enable JDBC-based queries across multiple data sources, using Java and SQL to streamline data federation and analytics. Improved data compaction telemetry by correcting metric calculations in Spark-based workflows, enhancing storage reporting accuracy. Prioritized code quality through comprehensive integration and unit testing, and maintained clear, audit-friendly commit practices. Enhanced documentation by refining README readability and onboarding guidance with Markdown, supporting contributor efficiency. Emphasized stability and process discipline through careful backlog management, non-breaking changes, and repository hygiene throughout the development cycle.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
2
Lines of code
667
Activity Months4

Work History

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for linkedin/openhouse focusing on documentation discipline, onboarding efficiency, and repo hygiene. The work centered on non-breaking documentation improvements and maintaining stability through careful change management, with no client-facing API changes.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for linkedin/openhouse: Delivered a new TrinoClient that enables JDBC-based queries across multiple data sources via a TrinoClientFactory. Implemented end-to-end integration tests and unit tests to ensure reliability and verifiability. No major bugs fixed this month as the focus was on feature delivery and test coverage. The work strengthens data federation capabilities, reduces data integration effort, and provides a scalable foundation for multi-source analytics.

March 2025

Development Work

Mar 1, 2025

March 2025 (2025-03) – linkedin/openhouse: No new features or bug fixes were recorded in this period. The team focused on backlog refinement, release readiness planning, and ensuring stability in the current codebase to support upcoming milestones. This period established a solid foundation for Q2 work with an emphasis on process discipline and tooling hygiene.

November 2024

1 Commits

Nov 1, 2024

Month 2024-11 — linkedin/openhouse: Focused on improving data quality telemetry and reliability in data compaction workflows. Delivered a targeted bug fix to DataCompactionSparkApp to correct rewritten bytes metric reporting, ensuring metrics accurately reflect rewritten data and enabling better capacity planning and reporting for storage optimization.

Activity

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Quality Metrics

Correctness97.6%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaMarkdown

Technical Skills

Bug FixClient DevelopmentJDBCJavaMetricsSQLSparkTestingdocumentation

Repositories Contributed To

1 repo

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

linkedin/openhouse

Nov 2024 Feb 2026
4 Months active

Languages Used

JavaMarkdown

Technical Skills

Bug FixMetricsSparkClient DevelopmentJDBCJava