ELIZABETH TIDWELL
Quality Engineer & Automation Specialist
Architecting scalable test automation frameworks, validating enterprise backend data, and safeguarding critical member access to care in healthcare technology.
Core Engineering Impact
Prevented annual remediation costs by catching critical defects in QA prior to production releases.
Deep expertise in Medicare/Medicaid lines of business, CMS regulations, and enrollment pipelines.
Streamlined authorization tracking and exception handling during CMS enrollment operations.
Technical Capability Stack
Languages & Scripting
Java, Python, C#, R, SQL, DAX, Power Query
Testing & Automation
Tosca, Selenium, AutoIT, Synthetic Data Optimization, Regression Framework Architecture, UFT (Legacy)
Data & Analytics
Databricks, Power BI, Statistical Analysis, Data Validation, Quantitative Modeling
Cloud & Methodologies
Microsoft Azure, DEP Platform, Agile/Scrum, Direct Report Management, SDLC, Lean Six Sigma
Featured Engineering Case Studies
1. Synthetic Data & Member Journey Modeling
Challenge: Testing complex enrollment scenarios required realistic member data without violating HIPAA or PII security standards.
Solution: Engineered synthetic data generation frameworks combining manual and automated enrollment pipelines to simulate edge-case member journeys.
Result: Protected data integrity while accelerating testing cycle times and safeguarding member access to care.
2. Modernizing Testing Architecture
Challenge: Legacy UFT scripts created high maintenance overhead and slow release execution velocity.
Solution: Spearheaded testing modernization by descoping UFT in favor of Tosca (model-based), Selenium (custom web), and AutoIT (desktop automation).
Result: Expanded automated test coverage across enterprise application stacks and increased release consistency.
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