fedspendingtransparency/usaspending-api
Oct 2024 – Feb 2026
16 Months active
Languages Used
MarkdownPythonSQLYAMLJSONJinjaGitDockerfile
Technical Skills
API DevelopmentDocumentationAPI DesignAPI DocumentationBackend DevelopmentData Aggregation
aguest-kc
PROFILE
Aguest-kc
Andrew Guest contributed to the fedspendingtransparency/usaspending-api repository by engineering robust data pipelines, enhancing API endpoints, and improving data modeling for federal spending transparency. He implemented Spark and DuckDB-based ETL workflows, optimized Elasticsearch-backed queries, and extended schema migrations to support evolving reporting needs. Using Python, SQL, and Django, Andrew unified data processing across environments, strengthened test coverage, and enforced code quality through modern linting and CI/CD practices. His work addressed data integrity, performance, and maintainability, enabling faster, more reliable analytics and reporting. These efforts resulted in scalable, well-documented backend systems that support accurate, timely federal spending insights.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
326Total
Bugs
28
Commits
326
Features
77
Lines of code
358,011
Activity Months16
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29 peopleShared Repositories
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TrimbergerMember
Work History
February 2026
17 Commits • 4 Features
Feb 1, 2026February 2026: Delivered significant improvements to data processing, data retrieval, and code quality across the usaspending-api repository, driving better reporting, faster insights, and a more maintainable codebase. The work enables flexible deployments, stronger validation, and robust performance across environments, directly supporting customers and internal stakeholders relying on accurate and timely spend data.
17 Commits • 4 Features
Feb 1, 2026February 2026: Delivered significant improvements to data processing, data retrieval, and code quality across the usaspending-api repository, driving better reporting, faster insights, and a more maintainable codebase. The work enables flexible deployments, stronger validation, and robust performance across environments, directly supporting customers and internal stakeholders relying on accurate and timely spend data.
February 2026
January 2026
12 Commits • 1 Features
Jan 1, 2026January 2026 in fedspendingtransparency/usaspending-api focused on raising code quality and data integrity through standardized linting and a targeted bug fix. Ruff became the primary Python linter, integrated with pre-commit and CI, and workflows were optimized to lint only changed Python files and enforce type-annotation rules. A data integrity bug was fixed by ensuring last_modified_date is processed as a date type in reports. Together these changes reduced lint noise, accelerated feedback, and improved reliability of reports, delivering business value and showcasing strong Python tooling, CI/CD practices, and data correctness.
January 2026
12 Commits • 1 Features
Jan 1, 2026January 2026 in fedspendingtransparency/usaspending-api focused on raising code quality and data integrity through standardized linting and a targeted bug fix. Ruff became the primary Python linter, integrated with pre-commit and CI, and workflows were optimized to lint only changed Python files and enforce type-annotation rules. A data integrity bug was fixed by ensuring last_modified_date is processed as a date type in reports. Together these changes reduced lint noise, accelerated feedback, and improved reliability of reports, delivering business value and showcasing strong Python tooling, CI/CD practices, and data correctness.
December 2025
29 Commits • 8 Features
Dec 1, 2025Month 2025-12 monthly summary for fedspendingtransparency/usaspending-api focusing on delivering data-processing enhancements, Spark-based processing, and schema/quality improvements. The work emphasizes business value through faster processing of large File A data, more robust and maintainable code, and clearer configuration management.
29 Commits • 8 Features
Dec 1, 2025Month 2025-12 monthly summary for fedspendingtransparency/usaspending-api focusing on delivering data-processing enhancements, Spark-based processing, and schema/quality improvements. The work emphasizes business value through faster processing of large File A data, more robust and maintainable code, and clearer configuration management.
December 2025
November 2025
27 Commits • 6 Features
Nov 1, 2025November 2025: Focused on delivering performance, reliability, and maintainability improvements in fedspendingtransparency/usaspending-api. Key work includes (1) end-to-end DuckDB integration with dependency management, download strategy, formatting/import order tweaks, type hints, memory configuration, and AWS config updates; (2) hardened environment variable handling for AWS secrets and broker connection strings with standardized naming; (3) SQL consolidation and federal account dataframe updates to simplify maintenance and improve query performance; (4) test cleanup removing Hadoop-related code and test utilities; (5) code quality improvements including linting/formatting fixes and added comments. Result: improved data processing performance, more robust secret management, streamlined tests, and better maintainability, enabling faster iteration and more reliable reporting.
November 2025
27 Commits • 6 Features
Nov 1, 2025November 2025: Focused on delivering performance, reliability, and maintainability improvements in fedspendingtransparency/usaspending-api. Key work includes (1) end-to-end DuckDB integration with dependency management, download strategy, formatting/import order tweaks, type hints, memory configuration, and AWS config updates; (2) hardened environment variable handling for AWS secrets and broker connection strings with standardized naming; (3) SQL consolidation and federal account dataframe updates to simplify maintenance and improve query performance; (4) test cleanup removing Hadoop-related code and test utilities; (5) code quality improvements including linting/formatting fixes and added comments. Result: improved data processing performance, more robust secret management, streamlined tests, and better maintainability, enabling faster iteration and more reliable reporting.
October 2025
9 Commits • 1 Features
Oct 1, 2025October 2025 monthly performance summary for fedspendingtransparency/usaspending-api focusing on procurement data model enhancements, ETL test reliability, and CI stability. Delivered data-model extensions for procurement with SB certifications, JV indicators, and SBA fields, including required migrations with careful sequencing. Aligned ETL tests with the new schema and ensured proper reversions. Stabilized CI workflow for non-Spark tests by configuring QA environments and reverting workflow changes where needed. Result: richer, more reliable procurement data, improved test coverage, and a more stable deployment pipeline.
9 Commits • 1 Features
Oct 1, 2025October 2025 monthly performance summary for fedspendingtransparency/usaspending-api focusing on procurement data model enhancements, ETL test reliability, and CI stability. Delivered data-model extensions for procurement with SB certifications, JV indicators, and SBA fields, including required migrations with careful sequencing. Aligned ETL tests with the new schema and ensured proper reversions. Stabilized CI workflow for non-Spark tests by configuring QA environments and reverting workflow changes where needed. Result: richer, more reliable procurement data, improved test coverage, and a more stable deployment pipeline.
October 2025
September 2025
10 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for fedspendingtransparency/usaspending-api: The team delivered targeted enhancements to the download module to improve data coverage (treasury account fields) and test reliability, hardened the Spark-based data pipelines against timeouts with a new timed_out status, and boosted query performance for transaction office lookups through indexing. In addition, code quality improvements and repository hygiene reduced complexity and maintenance drift. These efforts collectively increase data completeness for treasury reporting, improve the resilience of data pipelines, speed up data retrieval for users, and reduce ongoing maintenance effort.
September 2025
10 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for fedspendingtransparency/usaspending-api: The team delivered targeted enhancements to the download module to improve data coverage (treasury account fields) and test reliability, hardened the Spark-based data pipelines against timeouts with a new timed_out status, and boosted query performance for transaction office lookups through indexing. In addition, code quality improvements and repository hygiene reduced complexity and maintenance drift. These efforts collectively increase data completeness for treasury reporting, improve the resilience of data pipelines, speed up data retrieval for users, and reduce ongoing maintenance effort.
August 2025
26 Commits • 5 Features
Aug 1, 2025August 2025 performance summary for fedspendingtransparency/usaspending-api. Focused on delivering robust data-index improvements, migration reliability, and scalable data access to boost business reporting and developer productivity. Key outcomes include (1) ES index enhancements and refined aggregations, (2) migration fixes and state restoration, (3) precise transaction counting sourcing from int.awards, (4) Spark-based data access and enhanced download workflows, (5) recipient-level logic for Awards with tests and formatting improvements.
26 Commits • 5 Features
Aug 1, 2025August 2025 performance summary for fedspendingtransparency/usaspending-api. Focused on delivering robust data-index improvements, migration reliability, and scalable data access to boost business reporting and developer productivity. Key outcomes include (1) ES index enhancements and refined aggregations, (2) migration fixes and state restoration, (3) precise transaction counting sourcing from int.awards, (4) Spark-based data access and enhanced download workflows, (5) recipient-level logic for Awards with tests and formatting improvements.
August 2025
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for fedspendingtransparency/usaspending-api. Focused on delivering a Delta Lake-based data product for File B downloads and streamlining the CI/CD pipeline to improve data accessibility and pipeline maintainability. Key features delivered: - Object Class Program Activity Delta Table for Downloads: Implemented delta table definition and loading logic for object_class_program_activity with Delta and PostgreSQL schemas, enabling a custom File B data download workflow. This work directly supports faster, more reliable data extraction and analytics on object class and program activity dimensions. - Commits: d601a9038eb9fed1a03420076a2e102b14ce64c3 (DEV-12878) Create delta table for File B custom account download; 1eadc39b0b359d17928b95c9c7e838a9ebbdf249 (DEV-12878) Add create_delta_table test for object_class_program_activity; 055f33bc79d086234008033891f723502597ae61 (DEV-12878) Update delta model name. - CI/CD Pipeline Cleanup: Removed Code Climate integration from GitHub Actions to streamline CI/CD and reduce maintenance overhead. This eliminates deprecated services and simplifies build health checks. - Commit: d751b79ba773ea777b837a21fa550e3cb37350fa (DEV-12878) Remove Code Climate from Github actions Major bugs fixed: - No major bugs reported this month in the provided scope. Overall impact and accomplishments: - Business value: Enabled reliable, scalable file-downloaded data access for File B related to object_class and program activity, improving analytics readiness and reporting accuracy. Reduced CI/CD complexity and maintenance by removing deprecated Code Climate integration, speeding up pipelines and reducing potential failure points. - Technical achievements: Delta Lake-based data modeling, integration with PostgreSQL-backed schemas, expanded test coverage for delta table creation, and streamlined CI/CD pipeline configuration. Technologies/skills demonstrated: - Delta Lake and Delta tables, PostgreSQL schema integration, data pipeline development, test-driven validation, GitHub Actions-based CI/CD management, and codebase cleanup for maintainability.
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for fedspendingtransparency/usaspending-api. Focused on delivering a Delta Lake-based data product for File B downloads and streamlining the CI/CD pipeline to improve data accessibility and pipeline maintainability. Key features delivered: - Object Class Program Activity Delta Table for Downloads: Implemented delta table definition and loading logic for object_class_program_activity with Delta and PostgreSQL schemas, enabling a custom File B data download workflow. This work directly supports faster, more reliable data extraction and analytics on object class and program activity dimensions. - Commits: d601a9038eb9fed1a03420076a2e102b14ce64c3 (DEV-12878) Create delta table for File B custom account download; 1eadc39b0b359d17928b95c9c7e838a9ebbdf249 (DEV-12878) Add create_delta_table test for object_class_program_activity; 055f33bc79d086234008033891f723502597ae61 (DEV-12878) Update delta model name. - CI/CD Pipeline Cleanup: Removed Code Climate integration from GitHub Actions to streamline CI/CD and reduce maintenance overhead. This eliminates deprecated services and simplifies build health checks. - Commit: d751b79ba773ea777b837a21fa550e3cb37350fa (DEV-12878) Remove Code Climate from Github actions Major bugs fixed: - No major bugs reported this month in the provided scope. Overall impact and accomplishments: - Business value: Enabled reliable, scalable file-downloaded data access for File B related to object_class and program activity, improving analytics readiness and reporting accuracy. Reduced CI/CD complexity and maintenance by removing deprecated Code Climate integration, speeding up pipelines and reducing potential failure points. - Technical achievements: Delta Lake-based data modeling, integration with PostgreSQL-backed schemas, expanded test coverage for delta table creation, and streamlined CI/CD pipeline configuration. Technologies/skills demonstrated: - Delta Lake and Delta tables, PostgreSQL schema integration, data pipeline development, test-driven validation, GitHub Actions-based CI/CD management, and codebase cleanup for maintainability.
June 2025
14 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for fedspendingtransparency/usaspending-api: Implemented key data quality and performance improvements across location data, DUNS/SAM handling, and ETL processes. Delivered targeted fixes and enhancements that improve reporting accuracy, API responsiveness, and data processing reliability, with a focus on business value and maintainability.
14 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for fedspendingtransparency/usaspending-api: Implemented key data quality and performance improvements across location data, DUNS/SAM handling, and ETL processes. Delivered targeted fixes and enhancements that improve reporting accuracy, API responsiveness, and data processing reliability, with a focus on business value and maintainability.
June 2025
April 2025
12 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for fedspendingtransparency/usaspending-api focused on delivering data accuracy, search capability improvements, and robust test reliability. Key features delivered include: Subaward Search: Added awarding_toptier_agency_code and funding_toptier_agency_code to subaward_search, migrated fields, and fixed delta-model aliasing to ensure subaward search results reflect correct agencies. PostgreSQL Vector Initialization Refactor: Refactored vector dictionary initialization to dict.fromkeys for improved readability and startup performance. Location Autocomplete API Improvements: Enhanced results to return top results per location type, added type-limited tests, and improved query resiliency. ZIP Code Handling in Spending by Award API: Refactored zip code extraction to correctly handle zip4/zip5 and varying ZIP lengths, improving data accuracy. Test Data and Expectations for Disaster Spending Endpoints: Updated test data and integration tests to reflect current totals and include missing top-tier agency codes. Test Isolation Improvements: Ensured each test runs within its own database transaction to improve reliability and isolation, reducing flaky test runs.
April 2025
12 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for fedspendingtransparency/usaspending-api focused on delivering data accuracy, search capability improvements, and robust test reliability. Key features delivered include: Subaward Search: Added awarding_toptier_agency_code and funding_toptier_agency_code to subaward_search, migrated fields, and fixed delta-model aliasing to ensure subaward search results reflect correct agencies. PostgreSQL Vector Initialization Refactor: Refactored vector dictionary initialization to dict.fromkeys for improved readability and startup performance. Location Autocomplete API Improvements: Enhanced results to return top results per location type, added type-limited tests, and improved query resiliency. ZIP Code Handling in Spending by Award API: Refactored zip code extraction to correctly handle zip4/zip5 and varying ZIP lengths, improving data accuracy. Test Data and Expectations for Disaster Spending Endpoints: Updated test data and integration tests to reflect current totals and include missing top-tier agency codes. Test Isolation Improvements: Ensured each test runs within its own database transaction to improve reliability and isolation, reducing flaky test runs.
March 2025
59 Commits • 9 Features
Mar 1, 2025March 2025 monthly summary for fedspendingtransparency/usaspending-api: Delivered major data pipeline and API improvements across delta SQL, location processing, subawards, and data modeling; implemented ES-based subawards workflow; and improved code quality and tests, resulting in stronger data accuracy, performance, and maintainability.
59 Commits • 9 Features
Mar 1, 2025March 2025 monthly summary for fedspendingtransparency/usaspending-api: Delivered major data pipeline and API improvements across delta SQL, location processing, subawards, and data modeling; implemented ES-based subawards workflow; and improved code quality and tests, resulting in stronger data accuracy, performance, and maintainability.
March 2025
February 2025
29 Commits • 11 Features
Feb 1, 2025February 2025 highlights for fedspendingtransparency/usaspending-api: This month delivered performance, data quality, and API reliability gains through Elasticsearch-backed subaward queries, refined index and location search capabilities, and expanded test coverage. The work improves data access speed for users, strengthens data correctness, and reduces risk through better testing and code quality practices. Key features delivered: - Test data updates and recipient/location index handling (DEV-11590) - Subaward spending_over_time: Elasticsearch integration and test updates; added keyword field to subaward_type (DEV-11467) - Recipient Elasticsearch query updates and tests; converted to list comprehension (DEV-12006) - Index structure, API contract, and location autocomplete updates (DEV-12144) - Spending_by_category API docs and total_outlays enhancement (DEV-11522) Major bugs fixed: - Subaward load SQL update (DEV-11464) - Convert num_shards to int - Use delete_by_query instead of delete() - Flake8 fixes Overall impact and accomplishments: Improved data access speed and search accuracy for critical spend data through ES-backed queries, stronger data quality via comprehensive index and test improvements, and more reliable APIs with extended documentation. The changes also set the foundation for scalable batch processing and future feature work. Technologies/skills demonstrated: Elasticsearch integration, SQL and data loading optimizations, API contract design, Python-based data processing and test tooling, code quality and linting (Flake8), and enhanced CI-driven test coverage.
February 2025
29 Commits • 11 Features
Feb 1, 2025February 2025 highlights for fedspendingtransparency/usaspending-api: This month delivered performance, data quality, and API reliability gains through Elasticsearch-backed subaward queries, refined index and location search capabilities, and expanded test coverage. The work improves data access speed for users, strengthens data correctness, and reduces risk through better testing and code quality practices. Key features delivered: - Test data updates and recipient/location index handling (DEV-11590) - Subaward spending_over_time: Elasticsearch integration and test updates; added keyword field to subaward_type (DEV-11467) - Recipient Elasticsearch query updates and tests; converted to list comprehension (DEV-12006) - Index structure, API contract, and location autocomplete updates (DEV-12144) - Spending_by_category API docs and total_outlays enhancement (DEV-11522) Major bugs fixed: - Subaward load SQL update (DEV-11464) - Convert num_shards to int - Use delete_by_query instead of delete() - Flake8 fixes Overall impact and accomplishments: Improved data access speed and search accuracy for critical spend data through ES-backed queries, stronger data quality via comprehensive index and test improvements, and more reliable APIs with extended documentation. The changes also set the foundation for scalable batch processing and future feature work. Technologies/skills demonstrated: Elasticsearch integration, SQL and data loading optimizations, API contract design, Python-based data processing and test tooling, code quality and linting (Flake8), and enhanced CI-driven test coverage.
January 2025
44 Commits • 11 Features
Jan 1, 2025January 2025 — Monthly summary for fedspendingtransparency/usaspending-api highlighting business value and technical achievements across data quality, indexing, and API coverage. Key features delivered: - DEV-11489: Comprehensive Transactions tests and delta models update, including test data, migrations, delta SQL, and related views; plus test config, code quality tweaks, and formatting (black). - DEV-11491: Enabled program activity code query filter and added PAC test coverage. - ES indexing: Update ES indexer to work with JSON PAC PAN data, including cleanup and typo fixes. - Location index improvements: Location ES index structure enhancements, deduplication, removal of deprecated fields, and related data/formatting fixes; tests and delta view fixes. - DEV-11552: Spending by category endpoints updated to include total_outlays; updated awarding agency API contract and tests. Major bugs fixed: - DEV-11590: Updated failing location index test, removed extraneous comments, fixed docstrings, and updated location delta view. - Reverts/infra fixes: reverted CodeClimate changes and consolidated Radon config as part of platform stability. Overall impact and accomplishments: - Improved data accuracy and reliability across Transactions, PAC, and Location datasets; faster test feedback loops; and stronger API contracts and test coverage, driving trust and transparency for program managers and auditors. Technologies/skills demonstrated: - Python tooling and CI hygiene (Black, Flake8, CodeClimate alignment) and Python 3.10 readiness. - Elasticsearch indexing and delta-view fixes, SQL delta modeling, and test data management. - API contract evolution and test-driven development practices.
44 Commits • 11 Features
Jan 1, 2025January 2025 — Monthly summary for fedspendingtransparency/usaspending-api highlighting business value and technical achievements across data quality, indexing, and API coverage. Key features delivered: - DEV-11489: Comprehensive Transactions tests and delta models update, including test data, migrations, delta SQL, and related views; plus test config, code quality tweaks, and formatting (black). - DEV-11491: Enabled program activity code query filter and added PAC test coverage. - ES indexing: Update ES indexer to work with JSON PAC PAN data, including cleanup and typo fixes. - Location index improvements: Location ES index structure enhancements, deduplication, removal of deprecated fields, and related data/formatting fixes; tests and delta view fixes. - DEV-11552: Spending by category endpoints updated to include total_outlays; updated awarding agency API contract and tests. Major bugs fixed: - DEV-11590: Updated failing location index test, removed extraneous comments, fixed docstrings, and updated location delta view. - Reverts/infra fixes: reverted CodeClimate changes and consolidated Radon config as part of platform stability. Overall impact and accomplishments: - Improved data accuracy and reliability across Transactions, PAC, and Location datasets; faster test feedback loops; and stronger API contracts and test coverage, driving trust and transparency for program managers and auditors. Technologies/skills demonstrated: - Python tooling and CI hygiene (Black, Flake8, CodeClimate alignment) and Python 3.10 readiness. - Elasticsearch indexing and delta-view fixes, SQL delta modeling, and test data management. - API contract evolution and test-driven development practices.
January 2025
December 2024
13 Commits • 3 Features
Dec 1, 2024December 2024 — Monthly performance summary for fedspendingtransparency/usaspending-api. This period focused on delivering high-impact enhancements to program activity search, refining location data modeling, and improving the Spark/Elasticsearch data pipeline. Outcome-driven work reduces query latency, increases data accuracy, and strengthens pipeline robustness for program analysis and oversight.
December 2024
13 Commits • 3 Features
Dec 1, 2024December 2024 — Monthly performance summary for fedspendingtransparency/usaspending-api. This period focused on delivering high-impact enhancements to program activity search, refining location data modeling, and improving the Spark/Elasticsearch data pipeline. Outcome-driven work reduces query latency, increases data accuracy, and strengthens pipeline robustness for program analysis and oversight.
November 2024
20 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for fedspendingtransparency/usaspending-api: Delivered substantive API enhancements across subaward spend, spending over time surface, and program activity search, with focused improvements to data integrity, API contract alignment, and test coverage. Resulted in clearer spend insights, more reliable subaward/award reporting, and stronger developer experience for API consumers.
20 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for fedspendingtransparency/usaspending-api: Delivered substantive API enhancements across subaward spend, spending over time surface, and program activity search, with focused improvements to data integrity, API contract alignment, and test coverage. Resulted in clearer spend insights, more reliable subaward/award reporting, and stronger developer experience for API consumers.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for fedspendingtransparency/usaspending-api focusing on API documentation clarity and messaging enhancements. The month delivered enhancements to deprecation messaging for the subawards field and clarified contract docs by marking total_outlays as nullable in the spending over time API, improving API consumer understanding and reducing integration friction. No major bug fixes were completed this month; efforts were documentation-driven to improve developer experience and API reliability. Implemented via commit [DEV-11399] Update deprecation message (6545de14cd5bfdfe5841631b317a13e44da470e8).
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for fedspendingtransparency/usaspending-api focusing on API documentation clarity and messaging enhancements. The month delivered enhancements to deprecation messaging for the subawards field and clarified contract docs by marking total_outlays as nullable in the spending over time API, improving API consumer understanding and reducing integration friction. No major bug fixes were completed this month; efforts were documentation-driven to improve developer experience and API reliability. Implemented via commit [DEV-11399] Update deprecation message (6545de14cd5bfdfe5841631b317a13e44da470e8).
Activity
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Quality Metrics
Correctness90.6%
Maintainability89.6%
Architecture86.4%
Performance83.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
DockerfileGitJSONJavaScriptJinjaMarkdownPythonSQLTOMLYAML
Technical Skills
API Contract ManagementAPI DesignAPI DevelopmentAPI DocumentationAPI TestingAPI developmentAPI testingAWSAWS S3AWS integrationBackend DevelopmentCI/CDCSV handlingCloud ServicesCode Formatting
Repositories Contributed To
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