Yelp/paasta
May 2025 – Jun 2025
2 Months active
Languages Used
PythonYAML
Technical Skills
CLI ToolsCLI developmentConfiguration ManagementDependency ManagementPython scriptingTesting
Siddharth Shettigar
PROFILE
Siddharth Shettigar
Sid S. contributed to the Yelp/paasta repository by developing the Spark Run Jira Ticket Integration, which enables ad-hoc Spark jobs to be linked directly to Jira tickets for improved traceability and project tracking. He implemented this feature by introducing a new command-line parameter, updating the service-configuration-lib, and expanding test coverage to ensure robust handling of Jira ticket data. Sid also managed dependency upgrades to maintain stability and compatibility across the codebase. His work leveraged Python, YAML, and CLI development skills, resulting in enhanced auditability and reliability for Spark workloads while maintaining a strong focus on testing and configuration management.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
158
Activity Months2
Your Network
63 people
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for Yelp/paasta: Delivered a targeted dependency upgrade to improve stability and reliability. Upgraded service-configuration-lib to v3.3.5 across requirements-minimal.txt and requirements.txt, with commit ba498c9c9e6a2726d11046d4a7c2dcf8b6a42f6e. Verified compatibility and prepared for smooth rollout.
1 Commits
Jun 1, 2025June 2025 monthly summary for Yelp/paasta: Delivered a targeted dependency upgrade to improve stability and reliability. Upgraded service-configuration-lib to v3.3.5 across requirements-minimal.txt and requirements.txt, with commit ba498c9c9e6a2726d11046d4a7c2dcf8b6a42f6e. Verified compatibility and prepared for smooth rollout.
June 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 summary for Yelp/paasta: Delivered Spark Run Jira Ticket Integration to enhance traceability of ad-hoc Spark jobs by introducing a --jira-ticket parameter, updating and upgrading dependencies to support the feature, and adding tests to SparkConfBuilder for Jira ticket handling. This work involved adapting service-configuration-lib, ensuring compatibility, and expanding test coverage to prevent regressions. The result is improved project tracking, accountability, and governance for data processing jobs. No major bugs were fixed this month; focus was on feature delivery, stability through tests, and dependency upgrades. Technologies demonstrated include Spark orchestration, Jira integration, service-configuration-lib, SparkConfBuilder, and test automation. Business value is increased visibility, easier audit trails, and faster issue resolution for Spark workloads.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 summary for Yelp/paasta: Delivered Spark Run Jira Ticket Integration to enhance traceability of ad-hoc Spark jobs by introducing a --jira-ticket parameter, updating and upgrading dependencies to support the feature, and adding tests to SparkConfBuilder for Jira ticket handling. This work involved adapting service-configuration-lib, ensuring compatibility, and expanding test coverage to prevent regressions. The result is improved project tracking, accountability, and governance for data processing jobs. No major bugs were fixed this month; focus was on feature delivery, stability through tests, and dependency upgrades. Technologies demonstrated include Spark orchestration, Jira integration, service-configuration-lib, SparkConfBuilder, and test automation. Business value is increased visibility, easier audit trails, and faster issue resolution for Spark workloads.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CLI ToolsCLI developmentConfiguration ManagementDependency ManagementPython scriptingTesting
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