fedspendingtransparency/usaspending-api
Oct 2024 – Jan 2025
4 Months active
Languages Used
DockerfileShellPythonSQLYAMLMarkdownTextMakefile
Technical Skills
ContainerizationDevOpsEnvironment ConfigurationJavaAPI DevelopmentBackend Development
sethstoudenmier
PROFILE
Sethstoudenmier
Seth Stoudenmier contributed to the fedspendingtransparency/usaspending-api repository by delivering eight features and resolving three bugs over four months, focusing on backend and data engineering challenges. He enhanced the disaster spending data pipeline, expanded API exposure, and modernized CI/CD infrastructure using Python, SQL, and Docker. Seth implemented Java 8 compatibility for Spark/Hadoop, improved database schema alignment with Django, and strengthened test reliability through better configuration and tooling. His work addressed data integrity, optimized database queries, and ensured consistent data model naming, resulting in more accurate reporting and stable deployments. The depth of his contributions improved both developer experience and operational reliability.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
40Total
Bugs
3
Commits
40
Features
8
Lines of code
5,310
Activity Months4
Your Network
28 people
Work History
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments in the fedspendingtransparency/usaspending-api repo. The team delivered improvements in test infrastructure, stabilized data-access workstreams, and ensured continuity of critical data delivery alongside consistent data model naming. These efforts reduce test flakiness, accelerate validation of changes, and preserve reliable data access for downstream consumers, contributing to higher product quality and faster delivery cycles.
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments in the fedspendingtransparency/usaspending-api repo. The team delivered improvements in test infrastructure, stabilized data-access workstreams, and ensured continuity of critical data delivery alongside consistent data model naming. These efforts reduce test flakiness, accelerate validation of changes, and preserve reliable data access for downstream consumers, contributing to higher product quality and faster delivery cycles.
January 2025
December 2024
20 Commits • 3 Features
Dec 1, 2024December 2024 performance summary for fedspendingtransparency/usaspending-api: Key API enhancements, schema evolution, and DevOps modernization delivered business value with improved data exposure, reliability, and developer experience. Notable outcomes include expanding the Award API exposure with funding_opportunity fields, aligning the database schema with the updated data model and Django version, and completing comprehensive CI/CD and environment upgrades. A critical bug fix in load_rosetta.py improved data extraction accuracy across Excel imports.
December 2024
20 Commits • 3 Features
Dec 1, 2024December 2024 performance summary for fedspendingtransparency/usaspending-api: Key API enhancements, schema evolution, and DevOps modernization delivered business value with improved data exposure, reliability, and developer experience. Notable outcomes include expanding the Award API exposure with funding_opportunity fields, aligning the database schema with the updated data model and Django version, and completing comprehensive CI/CD and environment upgrades. A critical bug fix in load_rosetta.py improved data extraction accuracy across Excel imports.
November 2024
11 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for fedspendingtransparency/usaspending-api: Delivered significant enhancements to the disaster spending data pipeline and development/CI infrastructure, driving higher data accuracy, reliability, and maintainability. Key outcomes include corrected PYA handling in File B calculations, alignment of USGL codes, centralized zero/non-zero spending filtering, and updated SQL/tests to ensure accurate obligations and outlays, along with dev-ops improvements that strengthen CI/CD and code quality. These changes reduce reporting risk and enable faster, more reliable decision-making for stakeholders.
11 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for fedspendingtransparency/usaspending-api: Delivered significant enhancements to the disaster spending data pipeline and development/CI infrastructure, driving higher data accuracy, reliability, and maintainability. Key outcomes include corrected PYA handling in File B calculations, alignment of USGL codes, centralized zero/non-zero spending filtering, and updated SQL/tests to ensure accurate obligations and outlays, along with dev-ops improvements that strengthen CI/CD and code quality. These changes reduce reporting risk and enable faster, more reliable decision-making for stakeholders.
November 2024
October 2024
3 Commits • 1 Features
Oct 1, 2024October 2024: For fedspendingtransparency/usaspending-api, delivered Java 8 compatibility for Spark/Hadoop by updating Docker images to Amazon Corretto 8 and removing outdated JAVA_HOME PATH issues. Implemented via commits 6603604472ef00a50cd65179bcb79678eca1adf5 (update to use JDK 8) and 979344c1ac7ca7fd18974ebdc9773d5e6b90062c (update Dockerfile.spark); also cleaned the repo by removing obsolete binary coverage artifacts (commit 3dcf53b2db5a7105491811533ce3f512e21b38b9). These changes improve compatibility with legacy Java environments, reduce build/test noise, and strengthen CI reliability.
October 2024
3 Commits • 1 Features
Oct 1, 2024October 2024: For fedspendingtransparency/usaspending-api, delivered Java 8 compatibility for Spark/Hadoop by updating Docker images to Amazon Corretto 8 and removing outdated JAVA_HOME PATH issues. Implemented via commits 6603604472ef00a50cd65179bcb79678eca1adf5 (update to use JDK 8) and 979344c1ac7ca7fd18974ebdc9773d5e6b90062c (update Dockerfile.spark); also cleaned the repo by removing obsolete binary coverage artifacts (commit 3dcf53b2db5a7105491811533ce3f512e21b38b9). These changes improve compatibility with legacy Java environments, reduce build/test noise, and strengthen CI reliability.
Activity
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Quality Metrics
Correctness86.6%
Maintainability89.2%
Architecture80.6%
Performance76.0%
AI Usage21.0%
Skills & Technologies
Programming Languages
DockerfileMakefileMarkdownPythonSQLShellTextYAML
Technical Skills
API DevelopmentBackend DevelopmentCI/CDCI/CD ConfigurationCode FormattingCode QualityCode RefactoringConfigurationConfiguration ManagementContainerizationData EngineeringData IntegrityData LoadingData ManagementData Modeling
Repositories Contributed To
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