• Led the migration of local IT infrastructure to a cloud-based data lakehouse on AWS.• Optimized legacy SSRS data workflows and processing scripts, reducing data retrievaltimes.• Designed and implemented scalable ELT pipelines using S3, Lambda, Step Functions, Glue,and Athena.• Developed a real-time data synchronization framework between AWS, Salesforce, andother third party APIs.• Created a real-time data orchestration notification suite using Dynamo, Eventbridge, andSNS.• Built data visualizations in Metabase that tracked key performance indicators for analyzingcustomer call center operational efficiency.

• Designed and operationalized analytic web application using React, TypeScript, andTailwindCSS to support decision-making across the organization.• Provided analytical support across the enterprise by applying statistical methods andconcepts to analyze information and publish actionable insights back to stakeholders.• Architected, developed, and deployed web app using TypeScript, React, Apollo thatprovides analytical support and what-if analysis to assist sales conversations in the field.• Designed and productionalized ETL pipeline from on-premises data stores to AWS RDS.• Developed and inner sourced a design system using React, TailwindCSS, and Storybook toallow engineers to easily pull in reusable, themed, and responsive components to theirapplications.• Developed GraphQL API (Apollo Server) and frontend client (Nexus.js, Objection.js) to queryand mutate data in AWS DynamoDB to enable stakeholders to easily modify utterancesand intents in a custom-built chatbot.• Utilized AWS CDK to define infrastructure as code for various full-stack aplications and toenable fully automated CI/CD pipelines.• Led team of engineers and data scientists in a machine learning project to predictcustomer lifetime value for the organization's membership.• Developed API and Python package as part of an ML model registry to allow data scientiststo easily register and inventory developed machine learning models.

• Provided support for pricing, product development, rate filings, and enhancements ofexisting pricing tools.• Refined discounts for provider networks by utilizing claims data and enrollment data aswell as by leveraging reference‑based pricing experience, facility rates, diagnostic relatedgroup schedules, and Medicare/Medicaid based pricing.• Enhanced existing predictive modeling techniques by partnering with third‑party analyticsvendors and Highmark’s Data Science team.• Supported the development of renewal rate increase targets for Highmark’s Managed Careand Stop Loss reinsurance lines of business.• Provided support for Level Funding products by partnering with Underwriters.