Summary
Technical Skills
Education
Work Experience
- Write and maintain Python deployment scripts and PowerShell automation tools for our release pipeline
- Handle production deployments using Azure DevOps, troubleshooting backend services when issues come up during releases
- Work on improving our CI/CD setup to make deployments faster and catch backend integration problems earlier
- Participate in weekly release meetings with different teams to coordinate deployments and discuss any backend service concerns
- Build REST API endpoints for health checks and system monitoring, plus automated rollback scripts when deployments fail
- Help migrate our infrastructure to code-based provisioning using ARM templates and cloud automation
- Monitor production backend systems on Linux servers and respond to alerts, implementing better monitoring along the way
- Developed backend services in .NET Core and Node.js for a specific insurance letter generation project
- Built REST APIs to handle letter template processing and data validation for Long-Term Care claims during the 6-month contract
- Wrote unit tests and integration tests for the new letter generation features before project completion
- Worked with business analysts to understand project requirements and implemented database changes using SQL Server
- Focused on fixing critical bugs in existing letter templates and delivering the new template functionality on schedule
- Used Azure DevOps for code reviews and coordinated with the permanent team for smooth project handover
- Rebuilt backend architecture for Client Care Desktop using Python and Node.js to handle customer service requests more efficiently
- Maintained the 4Sight application backend by fixing bugs, adding features, and moving some services to cloud hosting
- Met with customer service teams to understand their pain points, then engineered API solutions and database improvements using SQL Server
- Helped clear out the Lighthouse team's backlog by writing backend automation scripts on Linux systems
- Developed and maintained batch processing services for data processing on AWS/Azure infrastructure
- Attended weekly project meetings and used Azure DevOps to track development tasks and code changes
- Worked with business teams to understand requirements, then built backend solutions using REST APIs and database integrations
- Handled web application deployments and releases, learning to coordinate backend service deployments and maintain system stability
- Participated in backend code refactoring projects using .NET Core, helping clean up older code and fix bugs
- Improved backend performance by writing better SQL Server queries and optimizing slow-running reports and data processing
- Set up monitoring and alerting tools to help the team respond faster when backend production issues occurred
- Wrote backend automation scripts in Python and Node.js to handle repetitive data processing tasks
- Deployed backend services to AWS/Azure environments and learned cloud platform basics