fedspendingtransparency/usaspending-api
Apr 2026 – Apr 2026
1 Month active
Languages Used
JavaScriptMarkdownPython
Technical Skills
API DevelopmentAPI DocumentationAPI designAPI developmentBackend DevelopmentData Processing
David Mikola
PROFILE
David Mikola
Worked on the fedspendingtransparency/usaspending-api repository to deliver core search endpoint functionality, focusing on improving search accuracy and code maintainability. Developed and tested new API features using Python and Django, enhancing default spending level interpretation and standardizing download types in search requests. Updated the API contract and related documentation in Markdown, expanded filter fields, and addressed syntax errors to ensure robust integration for downstream systems. Implemented data validation and added integration tests to verify datasource connections. Addressed code quality by applying Ruff lint fixes and refining code structure, resulting in a more reliable, maintainable backend for data discovery and processing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
25Total
Bugs
4
Commits
25
Features
8
Lines of code
344,784
Activity Months1
Your Network
33 peopleShared Repositories
17
Work History
April 2026
25 Commits • 8 Features
Apr 1, 2026In April 2026, the USASpending API team delivered measurable improvements to the search experience and code health. Delivered the initial Search Endpoint core functionality with tests and improved default spending level interpretation; updated and hardened the API contract and related documentation; standardized download types in search requests; and implemented a range of linting and code-quality fixes. Added a datasource test to validate integration points and merged qat branch changes to finalize optional-index-name work. These changes collectively improve search accuracy, reliability, and maintainability, delivering faster, more trustworthy data discovery for downstream systems and end users.
25 Commits • 8 Features
Apr 1, 2026In April 2026, the USASpending API team delivered measurable improvements to the search experience and code health. Delivered the initial Search Endpoint core functionality with tests and improved default spending level interpretation; updated and hardened the API contract and related documentation; standardized download types in search requests; and implemented a range of linting and code-quality fixes. Added a datasource test to validate integration points and merged qat branch changes to finalize optional-index-name work. These changes collectively improve search accuracy, reliability, and maintainability, delivering faster, more trustworthy data discovery for downstream systems and end users.
April 2026
Activity
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Quality Metrics
Correctness92.8%
Maintainability90.4%
Architecture90.4%
Performance90.4%
AI Usage22.4%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPython
Technical Skills
API DevelopmentAPI DocumentationAPI designAPI developmentBackend DevelopmentData ProcessingDevOpsDjangoDockerDocumentationElasticsearchGitHub ActionsPythonPython DevelopmentRESTful Services
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline