Software Engineer II - SC Data Center - Monroe, WI
(2026-04)
- Develop and maintain order preprocessing services supporting address validation, order pricing, customer creation, and order enrichment workflows.
- Build and enhance cloud-native applications using C#, AWS Lambda, AWS Step Functions, and Amazon DynamoDB to support high-volume order processing.
- Design and manage relational data models and write SQL queries in MySQL for order persistence, retrieval, and reporting needs.
- Monitor, troubleshoot, and debug production issues using AWS CloudWatch.
- Design and implement serverless workflows integrating multiple systems for order fulfillment and customer management.
- Manage CI/CD deployments through Azure DevOps using YAML pipelines and Terraform.
- Collaborate with QA, business analysts, and cross-functional teams in an Agile environment.
Software Developer - Epic Systems - Verona, WI
(2021-09 - 2026-01)
- Led web migration initiatives, converting legacy VB desktop workflows into modern React + C# applications.
- Designed, implemented, and maintained core features for Epic's Hospital Billing (HB) module.
- Partnered with UX teams to redesign billing workflows optimized for the web, resulting in a 50% reduction in customer workload.
- Collaborated with QA and DevOps to deliver stable deployments across multiple environments.
Software Engineer - John Deere - Urbandale, IA
(2020-01 - 2020-06)
- Developed and enhanced features for a global large-scale data exchange platform in an Agile, TDD environment.
- Built Reactive RESTful APIs enabling real-time streaming data processing and cross-system integration.
- Designed and deployed Spring Boot microservices in Docker, orchestrated via AWS ECS with CI/CD pipelines.
- Implemented OAuth 2.0 SSO with Spring Security.
Software Engineer Intern - Hach - Ames, IA
(2017-12 - 2018-12)
- Designed and implemented a high-performance real-time OEE monitoring system.
- Built RESTful services in PHP and AngularJS dashboards for analytics.
- Developed an Android application that increased production line productivity by ~50%.
- Added real-time group chat and task tracking workflows.
- Collaborated with cross-functional engineers during integration and field testing.
