CDCgov/prime-reportstream
Feb 2025 – Apr 2025
3 Months active
Languages Used
DockerfileMakefileShellPythonHCLYAML
Technical Skills
Build AutomationDevOpsDockerInfrastructure as CodePostgreSQLScripting
Matt Szubrycht
PROFILE
Matt Szubrycht
Matt Szubrycht developed infrastructure and automation features for the CDCgov/prime-reportstream repository, focusing on local development, security, and deployment consistency. He dockerized PostgreSQL 16.6, creating a reproducible local environment using Dockerfile and Makefile automation, which streamlined onboarding and reduced environment drift. Matt also prepared an IP cleanup workflow by scripting in Python and Shell, enabling direct execution and validation with test data. In addition, he enhanced CI/CD pipelines by making Trivy security scanning configurable and standardized Terraform network policies across multiple environments. His work demonstrated depth in DevOps, Infrastructure as Code, and scripting, addressing practical engineering challenges.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
4
Lines of code
10,975
Activity Months3
Your Network
28 peopleSame Organization
@aquia.io2
Work History
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for CDCgov/prime-reportstream focused on delivering configurable security scanning and cross-environment infrastructure standardization to improve deployment flexibility, security posture, and operational consistency.
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for CDCgov/prime-reportstream focused on delivering configurable security scanning and cross-environment infrastructure standardization to improve deployment flexibility, security posture, and operational consistency.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 – Prime Report Stream: Prepared IP cleanup workflow for production use and testing by making ip_cleanup.py executable and adding sample test data to enable validation and testing. These changes establish a runnable baseline for IP hygiene automation, enabling faster QA cycles and smoother future deployments. No major bugs reported this month in this repository.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 – Prime Report Stream: Prepared IP cleanup workflow for production use and testing by making ip_cleanup.py executable and adding sample test data to enable validation and testing. These changes establish a runnable baseline for IP hygiene automation, enabling faster QA cycles and smoother future deployments. No major bugs reported this month in this repository.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 (2025-02) – Summary for CDCgov/prime-reportstream: Key features delivered: - Dockerized PostgreSQL 16.6 with a complete local development workflow (Dockerfile + Makefile) to build PostgreSQL from source, configure runtime environment, and provide guidance for local development and testing. Not intended for production use. Commit: 56ff2c9764434e5857eaeaaf8de06f4a556a18da. Major bugs fixed: - Configuration consistency: standardized on the rsuser user across Docker build and runtime configurations, resolving username drift between build-time and run-time. Commit: 8a50a63184fcc6c4e28c6d1905fdf0086d745f59. Overall impact and accomplishments: - Establishes a reproducible, containerized PostgreSQL 16.6 environment for local development, reducing setup time and environment drift, and enabling more reliable testing workflows. - Improves developer onboarding and consistency across the local dev stack, laying groundwork for future testing and feature work. Technologies/skills demonstrated: - Docker, Dockerfile, Makefile automation, building PostgreSQL from source, containerized development workflows, and environment configuration management. Business value: - Faster onboarding for new engineers, more reliable local testing, and lower risk of environment-related defects in downstream features.
2 Commits • 1 Features
Feb 1, 2025February 2025 (2025-02) – Summary for CDCgov/prime-reportstream: Key features delivered: - Dockerized PostgreSQL 16.6 with a complete local development workflow (Dockerfile + Makefile) to build PostgreSQL from source, configure runtime environment, and provide guidance for local development and testing. Not intended for production use. Commit: 56ff2c9764434e5857eaeaaf8de06f4a556a18da. Major bugs fixed: - Configuration consistency: standardized on the rsuser user across Docker build and runtime configurations, resolving username drift between build-time and run-time. Commit: 8a50a63184fcc6c4e28c6d1905fdf0086d745f59. Overall impact and accomplishments: - Establishes a reproducible, containerized PostgreSQL 16.6 environment for local development, reducing setup time and environment drift, and enabling more reliable testing workflows. - Improves developer onboarding and consistency across the local dev stack, laying groundwork for future testing and feature work. Technologies/skills demonstrated: - Docker, Dockerfile, Makefile automation, building PostgreSQL from source, containerized development workflows, and environment configuration management. Business value: - Faster onboarding for new engineers, more reliable local testing, and lower risk of environment-related defects in downstream features.
February 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability98.0%
Architecture96.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileHCLMakefilePythonShellYAML
Technical Skills
AzureBuild AutomationCI/CDDevOpsDockerGitHub ActionsInfrastructure as CodePostgreSQLScriptingTerraform
Repositories Contributed To
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