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Sarang Joshi

PROFILE

Sarang Joshi

Sarang Joshi contributed to the NYPL/drb-etl-pipeline by delivering features that improved data ingestion reliability, API scalability, and catalog performance. He refactored the ingestion pipeline to use SQS-based messaging and introduced state persistence, enhancing data integrity and operational observability. Using Python, AWS ECS, and SQLAlchemy, Sarang optimized API queries through read replicas and stabilized CI/CD deployments by refining ECS wait logic. He also improved code quality with Ruff formatting and automated checks. In the UniversalViewer/universalviewer repository, Sarang resolved a front-end bug in the download dialogue using TypeScript, ensuring high-resolution options no longer interfered with other download types.

Overall Statistics

Feature vs Bugs

62%Features

Repository Contributions

24Total
Bugs
5
Commits
24
Features
8
Lines of code
26,978
Activity Months3

Work History

August 2025

1 Commits

Aug 1, 2025

Monthly summary for 2025-08 focusing on stabilizing the UniversalViewer download UX and preserving feature parity across options. The primary work this month was a targeted bug fix in the Download Dialogue to ensure High-Resolution mode does not inadvertently disable all download types, improving reliability and user experience.

May 2025

2 Commits • 2 Features

May 1, 2025

Month: 2025-05 | NYPL/drb-etl-pipeline: Delivered key features to improve observability and maintainability of the RecordPipeline, along with code quality and API refinements. No major bugs reported this month. These efforts enhanced pipeline reliability, faster debugging, and a cleaner codebase, enabling safer future iterations.

April 2025

21 Commits • 6 Features

Apr 1, 2025

April 2025 monthly summary for NYPL/drb-etl-pipeline: - Delivered key features to improve coverage, catalog reliability, ingestion reliability, and API scalability. - Stabilized deployments and CI by addressing ECS wait logic and removing redundant steps. - Improved data integrity and observability with state persistence, SQS-based messaging, and tooling enhancements. - Demonstrated strong technical leadership across data ingestion, messaging, and operational best practices, delivering business value through faster, more reliable data processing and catalog access.

Activity

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Quality Metrics

Correctness83.6%
Maintainability86.6%
Architecture82.4%
Performance73.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

EditorConfigJavaScriptMakefilePythonSQLShellTypeScriptYAML

Technical Skills

API DevelopmentAPI IntegrationAPI RefactoringAWSAWS ECSAWS S3AWS SQSBackend DevelopmentBoto3CI/CDCI/CD IntegrationCloud ComputingCloud Storage (S3)Code FormattingConfiguration Management

Repositories Contributed To

2 repos

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

NYPL/drb-etl-pipeline

Apr 2025 May 2025
2 Months active

Languages Used

EditorConfigJavaScriptMakefilePythonSQLShellTypeScriptYAML

Technical Skills

API DevelopmentAPI IntegrationAWSAWS ECSAWS S3AWS SQS

UniversalViewer/universalviewer

Aug 2025 Aug 2025
1 Month active

Languages Used

JavaScriptTypeScript

Technical Skills

Front-end DevelopmentJavaScriptTypeScriptUI Development

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