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David Shimamoto

PROFILE

David Shimamoto

David contributed to the tuva-health/tuva repository by engineering robust data pipelines and quality tooling over four months. He developed multi-source claims preprocessing and standardized numeric field validation, ensuring consistent data integrity across sources. Leveraging SQL, dbt, and Python, David automated dbt documentation deployment with GitHub Actions and refactored metadata schema handling for improved governance. He built an HTML-based data quality dashboard using JavaScript and HTML, enabling clear visualization of test results and usability metrics. His work addressed data modeling, validation, and integration testing, resulting in more reliable analytics, streamlined onboarding of new data sources, and maintainable, automated workflows for the team.

Overall Statistics

Feature vs Bugs

78%Features

Repository Contributions

10Total
Bugs
2
Commits
10
Features
7
Lines of code
3,602
Activity Months4

Work History

August 2025

2 Commits • 1 Features

Aug 1, 2025

August 2025 focused on hardening claims data quality in the tuva repository by enforcing numeric data types and standardizing key fields across sources. This work improves data integrity for downstream analytics and bolsters the reliability of the test suite.

July 2025

2 Commits • 1 Features

Jul 1, 2025

Monthly work summary for 2025-07 (tuva-health/tuva). Focused on delivering data quality tooling and ensuring seed data reliability, with clear traceability to business impact and future maintenance.

June 2025

4 Commits • 3 Features

Jun 1, 2025

June 2025 performance highlights for tuva-health/tuva: Delivered four major improvements across data handling, automation, and data quality: 1) Enrollment Data Restructuring with member_months model to prevent per-member-month row explosion and enable accurate aggregation via claims_enrollment__member_months; 2) DBT docs generation and deployment automation via GitHub Actions to keep docs up-to-date and publicly accessible; 3) Internal metadata schema creation and logging refactor to standardize target schema handling and clean logging; 4) Eligibility data integrity bug fix by tightening the uniqueness check to include member_id, preventing duplicate eligibility records within an enrollment period. These changes improve data accuracy, reduce storage bloat, automate documentation, and strengthen data governance. Commits across these features reflect improvements in PK testing, schema/config handling, and CI automation.

May 2025

2 Commits • 2 Features

May 1, 2025

May 2025 monthly summary for tuva-health/tuva highlighting key feature deliveries, major fixes if any, and overall impact with a focus on business value and technical achievements.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture86.0%
Performance78.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSSHTMLJavaScriptJinjaPythonSQLYAML

Technical Skills

AutomationCI/CDCSSData EngineeringData ModelingData QualityData ValidationData WarehousingDatabase DesignDatabase ManagementFrontend DevelopmentGitHub ActionsHTMLIntegration TestingJavaScript

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tuva-health/tuva

May 2025 Aug 2025
4 Months active

Languages Used

JinjaSQLPythonYAMLCSSHTMLJavaScript

Technical Skills

Data EngineeringData ModelingDatabase ManagementSQLSQL Developmentdbt

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