fedspendingtransparency/usaspending-api
Feb 2025 – May 2026
16 Months active
Languages Used
PythonSQLYAMLBashDockerfileMakefileMarkdownShell
Technical Skills
API DevelopmentBackend DevelopmentBuild AutomationBuild ManagementCI/CDCode Formatting
Seth Stoudenmier
PROFILE
Seth Stoudenmier
Over 16 months, contributed to the fedspendingtransparency/usaspending-api repository by building scalable data pipelines, enhancing API endpoints, and improving analytics reliability for federal spending data. Leveraging Python, SQL, and Spark, delivered features such as Spark-based bulk downloads, dynamic award type mappings, and robust recipient profiling metrics. The work included optimizing ETL workflows, integrating AWS services, and refining database indexing to support high-volume data processing. Focused on maintainability, implemented Docker-based development environments, CI/CD automation, and comprehensive test coverage. These efforts improved data quality, reduced deployment friction, and enabled faster, more accurate reporting for stakeholders relying on complex backend systems.
Overall Statistics
Feature vs Bugs
61%Features
Repository Contributions
223Total
Bugs
45
Commits
223
Features
70
Lines of code
364,941
Activity Months16
Your Network
29 peopleSame Organization
@bah.com12
Choi, James [USA]Member
Lemuel WattsMember
aiSSEMBLE TeamMember
Margaret BlackMember
dpb-bahMember
Annie ChangMember
Choi, James [USA]Member
Wil CollinsMember
Carter CundiffMember
Shared Repositories
17
Work History
May 2026
6 Commits • 2 Features
May 1, 2026May 2026 monthly summary for fedspendingtransparency/usaspending-api focusing on delivering business value through data accuracy, extended analytics capabilities, and robust ETL reliability. Key features enhanced include centralized award type mappings and expanded recipient profiling metrics, enabling broader coverage of award types across modules. Major bugs fixed to stabilize data processing and classification. Key features delivered: - Award Types and Mappings Enhancement: Added support for new assistance type codes and insurance type mapping; updated API endpoints and data views to utilize new mappings; centralized award type mappings and enabled dynamic SQL to support new award types across modules. - Recipient Profile Enhancements: Introduced recipient profile metric enhancements via new SQL (temporary materialized view), a new obligations table, and expanded data structures to include financial metrics and relationships to parent entities. Major bugs fixed: - ETL Robustness Improvements: Fixed generator type hints for ETL load_transactions_in_delta to ensure correct input/output typing and maintain ETL reliability. - Recipient Profile Model Typo and SQL Categorization Fixes: Corrected import statement typo and adjusted SQL string for categorizing award types to ensure accurate data classification. Overall impact and accomplishments: - Improved data quality and coverage for award types and recipient metrics, enabling more accurate financial reporting and analytics. - More reliable ETL pipeline reducing runtime errors and data gaps; improved data classification integrity in recipient profile models. - Reduced time-to-insight for stakeholders by delivering centralized mappings and richer profile metrics that support cross-module analyses. Technologies/skills demonstrated: - SQL (materialized views, new tables, data views), Python ETL typing, API endpoint/data view updates, data modeling, and a focus on data quality and maintainability.
6 Commits • 2 Features
May 1, 2026May 2026 monthly summary for fedspendingtransparency/usaspending-api focusing on delivering business value through data accuracy, extended analytics capabilities, and robust ETL reliability. Key features enhanced include centralized award type mappings and expanded recipient profiling metrics, enabling broader coverage of award types across modules. Major bugs fixed to stabilize data processing and classification. Key features delivered: - Award Types and Mappings Enhancement: Added support for new assistance type codes and insurance type mapping; updated API endpoints and data views to utilize new mappings; centralized award type mappings and enabled dynamic SQL to support new award types across modules. - Recipient Profile Enhancements: Introduced recipient profile metric enhancements via new SQL (temporary materialized view), a new obligations table, and expanded data structures to include financial metrics and relationships to parent entities. Major bugs fixed: - ETL Robustness Improvements: Fixed generator type hints for ETL load_transactions_in_delta to ensure correct input/output typing and maintain ETL reliability. - Recipient Profile Model Typo and SQL Categorization Fixes: Corrected import statement typo and adjusted SQL string for categorizing award types to ensure accurate data classification. Overall impact and accomplishments: - Improved data quality and coverage for award types and recipient metrics, enabling more accurate financial reporting and analytics. - More reliable ETL pipeline reducing runtime errors and data gaps; improved data classification integrity in recipient profile models. - Reduced time-to-insight for stakeholders by delivering centralized mappings and richer profile metrics that support cross-module analyses. Technologies/skills demonstrated: - SQL (materialized views, new tables, data views), Python ETL typing, API endpoint/data view updates, data modeling, and a focus on data quality and maintainability.
May 2026
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for fedspendingtransparency/usaspending-api: Delivered initial Spark-based monthly downloads generation and CLI improvements with S3 configuration and integration tests; performed code cleanup and internal performance improvements; fixed validation-related bugs and updated tests/configs; overall impact includes enabling automated monthly exports, faster pipelines, and clearer maintainability; technologies demonstrated include Spark, AWS S3, Python CLI, unit/integration testing, and code refactoring.
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for fedspendingtransparency/usaspending-api: Delivered initial Spark-based monthly downloads generation and CLI improvements with S3 configuration and integration tests; performed code cleanup and internal performance improvements; fixed validation-related bugs and updated tests/configs; overall impact includes enabling automated monthly exports, faster pipelines, and clearer maintainability; technologies demonstrated include Spark, AWS S3, Python CLI, unit/integration testing, and code refactoring.
March 2026
5 Commits • 2 Features
Mar 1, 2026March 2026 — Performance summary for fedspendingtransparency/usaspending-api Key features delivered - OpenSearch date/time format standardization across SQL ETL and templates: standardize date formats, introduce a new OpenSearch date format, align date fields, and cast timestamps without milliseconds to maintain compatibility with OpenSearch documents. Commits supporting this work include 5a5bb533eea99e20b28ad01704f11cfc96ba852c; d84ba8888ee62c9821f38d764decbf72d8c21323; d9bd291e1787ec3638ce0c76da8b6ac48dd7a3d6; 00b2b1b1505520bf31cb5f249ae119588a8b62c6. - Transaction index last_modified_date mapping: added missing last_modified_date mapping for the transaction index to improve accuracy of updates surfaced in search/indexing workflows. Commit: e5ef2484174eb1f3af64896a7a73437c5139a054. Major bugs fixed - No separate high-severity bugs identified this month. Primary refinements focused on data consistency and indexing reliability through date/time normalization and mapping enhancements. Overall impact and accomplishments - Improved search relevance and surface of updated transactions due to standardized date handling and explicit last_modified_date mapping. - Reduced data drift between source data and OpenSearch indices, enabling more reliable dashboards and faster response in user queries. - Enhanced downstream workflows and analytics with consistent timestamps and better-tracked updates. Technologies/skills demonstrated - OpenSearch integration and templates, SQL-based ETL, PostgreSQL datetime handling, data normalization, indexing mappings, and commit-driven traceability.
5 Commits • 2 Features
Mar 1, 2026March 2026 — Performance summary for fedspendingtransparency/usaspending-api Key features delivered - OpenSearch date/time format standardization across SQL ETL and templates: standardize date formats, introduce a new OpenSearch date format, align date fields, and cast timestamps without milliseconds to maintain compatibility with OpenSearch documents. Commits supporting this work include 5a5bb533eea99e20b28ad01704f11cfc96ba852c; d84ba8888ee62c9821f38d764decbf72d8c21323; d9bd291e1787ec3638ce0c76da8b6ac48dd7a3d6; 00b2b1b1505520bf31cb5f249ae119588a8b62c6. - Transaction index last_modified_date mapping: added missing last_modified_date mapping for the transaction index to improve accuracy of updates surfaced in search/indexing workflows. Commit: e5ef2484174eb1f3af64896a7a73437c5139a054. Major bugs fixed - No separate high-severity bugs identified this month. Primary refinements focused on data consistency and indexing reliability through date/time normalization and mapping enhancements. Overall impact and accomplishments - Improved search relevance and surface of updated transactions due to standardized date handling and explicit last_modified_date mapping. - Reduced data drift between source data and OpenSearch indices, enabling more reliable dashboards and faster response in user queries. - Enhanced downstream workflows and analytics with consistent timestamps and better-tracked updates. Technologies/skills demonstrated - OpenSearch integration and templates, SQL-based ETL, PostgreSQL datetime handling, data normalization, indexing mappings, and commit-driven traceability.
March 2026
February 2026
8 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) focused on strengthening developer experience and data layer reliability in fedspendingtransparency/usaspending-api. Key work included internal configuration management and environment-aware logging improvements, data model timestamp enhancements with indexing, and partitioned-table indexing refinements to prevent recreation issues. These changes reduce configuration-related issues, improve data integrity and query performance, and support faster, safer deployments.
February 2026
8 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) focused on strengthening developer experience and data layer reliability in fedspendingtransparency/usaspending-api. Key work included internal configuration management and environment-aware logging improvements, data model timestamp enhancements with indexing, and partitioned-table indexing refinements to prevent recreation issues. These changes reduce configuration-related issues, improve data integrity and query performance, and support faster, safer deployments.
January 2026
5 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for fedspendingtransparency/usaspending-api: Delivered reliability and workflow improvements in EMR-based processing and Spark job submission, while tightening data processing compatibility and code quality. The work focused on implementing a robust EMR Serverless retry policy, enhancing SparkSubmit entry points, and aligning data loading with stable, proven syntax, all contributing to more reliable data processing and faster, more predictable job runs.
5 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for fedspendingtransparency/usaspending-api: Delivered reliability and workflow improvements in EMR-based processing and Spark job submission, while tightening data processing compatibility and code quality. The work focused on implementing a robust EMR Serverless retry policy, enhancing SparkSubmit entry points, and aligning data loading with stable, proven syntax, all contributing to more reliable data processing and faster, more predictable job runs.
January 2026
December 2025
10 Commits • 4 Features
Dec 1, 2025December 2025 summary for fedspendingtransparency/usaspending-api. Delivered foundational improvements driving reliability and scalability: 1) Docker-based dev/test environment with CI/CD and code quality refinements; 2) Data loading and delta table enhancements with partitioning and Change Data Feed; 3) Search capability improvements with contains analyzer; 4) EMR Serverless integration for scalable processing and downloads. Major bugs fixed: none reported. Business impact: faster onboarding, more reliable data pipelines, and scalable analytics capabilities for stakeholders. Technologies demonstrated: Docker, CI/CD, code quality tooling, data partitioning and CDF, EMR Serverless, search analytics.
December 2025
10 Commits • 4 Features
Dec 1, 2025December 2025 summary for fedspendingtransparency/usaspending-api. Delivered foundational improvements driving reliability and scalability: 1) Docker-based dev/test environment with CI/CD and code quality refinements; 2) Data loading and delta table enhancements with partitioning and Change Data Feed; 3) Search capability improvements with contains analyzer; 4) EMR Serverless integration for scalable processing and downloads. Major bugs fixed: none reported. Business impact: faster onboarding, more reliable data pipelines, and scalable analytics capabilities for stakeholders. Technologies demonstrated: Docker, CI/CD, code quality tooling, data partitioning and CDF, EMR Serverless, search analytics.
November 2025
8 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for fedspendingtransparency/usaspending-api. Delivered data pipeline and catalog enhancements that improve data quality, processing speed, and analytical capability, while fixing environment reliability issues and expanding reporting capabilities. Implemented Delta Lake migration for EMR-backed data downloads to boost scalability and performance, and introduced a new transaction downloads schema for richer downstream reporting. All changes include targeted tests and fixtures to ensure data integrity and maintainability.
8 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for fedspendingtransparency/usaspending-api. Delivered data pipeline and catalog enhancements that improve data quality, processing speed, and analytical capability, while fixing environment reliability issues and expanding reporting capabilities. Implemented Delta Lake migration for EMR-backed data downloads to boost scalability and performance, and introduced a new transaction downloads schema for richer downstream reporting. All changes include targeted tests and fixtures to ensure data integrity and maintainability.
November 2025
October 2025
10 Commits • 2 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on key features, bug fixes, impact, and technical competencies demonstrated in the fedspendingtransparency/usaspending-api repository. Highlights business value delivered through scalable download pipelines and performance optimizations.
October 2025
10 Commits • 2 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on key features, bug fixes, impact, and technical competencies demonstrated in the fedspendingtransparency/usaspending-api repository. Highlights business value delivered through scalable download pipelines and performance optimizations.
September 2025
10 Commits • 4 Features
Sep 1, 2025Month: 2025-09 — Delivered significant data processing and API stability improvements for fedspendingtransparency/usaspending-api. Focused on enabling scalable Spark-powered downloads, robust Delta table management, and stronger data validation, with targeted performance gains in search aggregation.
10 Commits • 4 Features
Sep 1, 2025Month: 2025-09 — Delivered significant data processing and API stability improvements for fedspendingtransparency/usaspending-api. Focused on enabling scalable Spark-powered downloads, robust Delta table management, and stronger data validation, with targeted performance gains in search aggregation.
September 2025
August 2025
37 Commits • 12 Features
Aug 1, 2025August 2025 focused on delivering core data ingestion enhancements, expanding API capabilities, and strengthening reliability for the fedspendingtransparency/usaspending-api repository. Key features include PARK loader integration with uppercase normalization, full reload support, and expanded handling for 0 PARK codes, plus a new Program Activities endpoint aligned to updated API contracts. In parallel, we fixed critical race conditions in downloads, resolved test determinism issues, and completed a refactor of progress and download robustness, along with parsing enhancements (delimiters, file names/extensions, and timestamp formats). These efforts improved data accuracy, reliability, and API coverage for downstream consumers, reducing churn and enabling more reliable program activity data access.
August 2025
37 Commits • 12 Features
Aug 1, 2025August 2025 focused on delivering core data ingestion enhancements, expanding API capabilities, and strengthening reliability for the fedspendingtransparency/usaspending-api repository. Key features include PARK loader integration with uppercase normalization, full reload support, and expanded handling for 0 PARK codes, plus a new Program Activities endpoint aligned to updated API contracts. In parallel, we fixed critical race conditions in downloads, resolved test determinism issues, and completed a refactor of progress and download robustness, along with parsing enhancements (delimiters, file names/extensions, and timestamp formats). These efforts improved data accuracy, reliability, and API coverage for downstream consumers, reducing churn and enabling more reliable program activity data access.
July 2025
8 Commits • 5 Features
Jul 1, 2025July 2025 highlights for fedspendingtransparency/usaspending-api: Delivered performance optimizations, API enhancements, and reliability fixes across large data processing, search readiness, and local development workflows. Key outcomes include: 1) Bulk data processing optimization for update_table_value_from_broker with optional load-field-type defaulting to 'text', improved ID-range retrieval, and moving ID-range conditions to a subquery for better performance; 2) Spending by transaction endpoint enhanced to expose recipient_id, updating API contracts, Elasticsearch lookups, and view logic to surface the recipient identifier in search results; 3) Vacuum optimization for disaster_emergency_fund_code loader by removing the 'full' vacuum option to enable a lighter analyze and faster data loads; 4) Subaward zip code filtering fix ensuring correct ES field usage (sub_pop_zip5), consistent sub_ prefixes in query generation, and accompanying tests; 5) Logging correctness fix in update_table_value_from_broker to use logger.info for proper log capture; 6) Internal PR workflow improvements to PR templates and GitHub Actions automation to streamline code review and staging visibility.
8 Commits • 5 Features
Jul 1, 2025July 2025 highlights for fedspendingtransparency/usaspending-api: Delivered performance optimizations, API enhancements, and reliability fixes across large data processing, search readiness, and local development workflows. Key outcomes include: 1) Bulk data processing optimization for update_table_value_from_broker with optional load-field-type defaulting to 'text', improved ID-range retrieval, and moving ID-range conditions to a subquery for better performance; 2) Spending by transaction endpoint enhanced to expose recipient_id, updating API contracts, Elasticsearch lookups, and view logic to surface the recipient identifier in search results; 3) Vacuum optimization for disaster_emergency_fund_code loader by removing the 'full' vacuum option to enable a lighter analyze and faster data loads; 4) Subaward zip code filtering fix ensuring correct ES field usage (sub_pop_zip5), consistent sub_ prefixes in query generation, and accompanying tests; 5) Logging correctness fix in update_table_value_from_broker to use logger.info for proper log capture; 6) Internal PR workflow improvements to PR templates and GitHub Actions automation to streamline code review and staging visibility.
July 2025
June 2025
10 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for fedspendingtransparency/usaspending-api: Delivered data-quality and deployment-readiness improvements across DEFC spending analytics, advanced search robustness, Spark-based processing, and UI stability. Key outcomes include more accurate DEFC filtering and aggregation, corrected NULL handling in DEFC-based spend data, a new Spark jobs API with centralized configuration, standardized spending-over-time calculations, and UI CSS fixes that stabilize layouts for end users. These efforts improve business insights, analytics reliability, and deployment flexibility for stakeholders relying on timely federal spending data.
June 2025
10 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for fedspendingtransparency/usaspending-api: Delivered data-quality and deployment-readiness improvements across DEFC spending analytics, advanced search robustness, Spark-based processing, and UI stability. Key outcomes include more accurate DEFC filtering and aggregation, corrected NULL handling in DEFC-based spend data, a new Spark jobs API with centralized configuration, standardized spending-over-time calculations, and UI CSS fixes that stabilize layouts for end users. These efforts improve business insights, analytics reliability, and deployment flexibility for stakeholders relying on timely federal spending data.
May 2025
21 Commits • 4 Features
May 1, 2025May 2025: Delivered significant data-quality and performance improvements in fedspendingtransparency/usaspending-api. Key work includes a first-pass Broker data update command, a comprehensive DEFC breakout spending overhaul with API contracts and tests, and targeted fixes that enhanced data correctness, search reliability, and reindex robustness. Additional stability work reduced logging noise, supported local downloads, and improved test harness behavior, collectively delivering faster data refresh, more accurate spend analytics, and stronger API guarantees for partners.
21 Commits • 4 Features
May 1, 2025May 2025: Delivered significant data-quality and performance improvements in fedspendingtransparency/usaspending-api. Key work includes a first-pass Broker data update command, a comprehensive DEFC breakout spending overhaul with API contracts and tests, and targeted fixes that enhanced data correctness, search reliability, and reindex robustness. Additional stability work reduced logging noise, supported local downloads, and improved test harness behavior, collectively delivering faster data refresh, more accurate spend analytics, and stronger API guarantees for partners.
May 2025
April 2025
28 Commits • 12 Features
Apr 1, 2025April 2025: A focused sprint delivering reliability, performance, and observability enhancements across usaspending-api. Strengthened data pipeline observability, stabilized test infrastructure, and implemented targeted fixes to improve correctness, throughput, and developer productivity. Delivered features enabling safer deployments and faster iteration cycles.
April 2025
28 Commits • 12 Features
Apr 1, 2025April 2025: A focused sprint delivering reliability, performance, and observability enhancements across usaspending-api. Strengthened data pipeline observability, stabilized test infrastructure, and implemented targeted fixes to improve correctness, throughput, and developer productivity. Delivered features enabling safer deployments and faster iteration cycles.
March 2025
22 Commits • 3 Features
Mar 1, 2025March 2025 performance review for fedspendingtransparency/usaspending-api: Delivered critical data model hardening for subaward records, CI/CD enhancements, and test infrastructure improvements. This work improved data integrity, deployment reliability, and development velocity, enabling faster feedback to stakeholders and more trustworthy reporting.
22 Commits • 3 Features
Mar 1, 2025March 2025 performance review for fedspendingtransparency/usaspending-api: Delivered critical data model hardening for subaward records, CI/CD enhancements, and test infrastructure improvements. This work improved data integrity, deployment reliability, and development velocity, enabling faster feedback to stakeholders and more trustworthy reporting.
March 2025
February 2025
29 Commits • 5 Features
Feb 1, 2025February 2025: Delivered scalable transaction slicing/sharding and index integration for the USASpending API, enhanced observability, expanded test coverage, and completed Subawards migration to Elasticsearch. Key outcomes include dynamic slice calculation tied to index creation flows, instrumentation for shard lookups in the award index, and slices-aware TaskSpec tests. Addressed critical bugs to improve data correctness and environment stability, including file B calculations, max search date boundaries, Python patch version pinning, and Black formatting. Overall impact: improved scalability for large datasets, faster issue diagnosis, more reliable analytics, and stronger CI/code hygiene. Technologies demonstrated: Python, Elasticsearch, logging instrumentation, test automation, indexing/slicing strategies, and CI/workflow discipline.
February 2025
29 Commits • 5 Features
Feb 1, 2025February 2025: Delivered scalable transaction slicing/sharding and index integration for the USASpending API, enhanced observability, expanded test coverage, and completed Subawards migration to Elasticsearch. Key outcomes include dynamic slice calculation tied to index creation flows, instrumentation for shard lookups in the award index, and slices-aware TaskSpec tests. Addressed critical bugs to improve data correctness and environment stability, including file B calculations, max search date boundaries, Python patch version pinning, and Black formatting. Overall impact: improved scalability for large datasets, faster issue diagnosis, more reliable analytics, and stronger CI/code hygiene. Technologies demonstrated: Python, Elasticsearch, logging instrumentation, test automation, indexing/slicing strategies, and CI/workflow discipline.
Activity
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Quality Metrics
Correctness89.0%
Maintainability88.8%
Architecture85.2%
Performance81.6%
AI Usage21.4%
Skills & Technologies
Programming Languages
BashCSSDockerfileJSONJavaScriptMakefileMarkdownPainlessPythonSQL
Technical Skills
API DesignAPI DevelopmentAPI DocumentationAPI TestingAPI developmentAWSAWS EMRAWS S3AWS SQSAbstract ClassesApache SparkBackend DevelopmentBoto3Build AutomationBuild Engineering
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline