Jayson Carter

Led design and delivery of backend services for healthcare navigation and provider matching platforms serving 6M+ members. Modernized legacy workflows into microservices and event-driven systems using Azure Service Bus; built and optimized FHIR-based data ingestion pipelines; designed data solutions across SQL Server/Azure SQL, Cosmos DB, and Redis; built data pipelines using Azure Data Factory, SSIS, and Azure Databricks (PySpark, Spark SQL) for large-scale analytics; established API standards, versioning, and integration patterns with Azure API Management; containerized services on AKS; improved CI/CD with Azure DevOps and Terraform; enhanced monitoring with Azure Monitor and Application Insights; achieved ~30% faster deployments, ~25–30% API latency improvements, and 99.95% uptime.

Led design and delivery of backend services for healthcare navigation and provider matching platforms serving 6M+ members, architecting distributed, event-driven systems using C#, .NET, SQL Server/Azure SQL, and Azure services (App Services, Functions, Service Bus, Event Hub). Modernized legacy workflows into microservices, improving scalability and reducing deployment times by ~30%. Built and optimized FHIR-based data ingestion pipelines for provider and eligibility data to ensure accurate, timely processing across integrated healthcare systems. Designed data solutions across SQL Server, Azure SQL, Cosmos DB, and Redis, improving query performance through indexing, partitioning, and caching. Built data pipelines with Azure Data Factory, SSIS, and Azure Databricks (PySpark, Spark SQL) to support large-scale analytics and reporting. Established API standards and gateways with Azure API Management and deployed containerized services on AKS to improve scalability. Enhanced CI/CD pipelines

Led technical delivery of cloud transformation programs, modernizing 10+ enterprise applications on Microsoft Azure using microservices and event-driven architectures, achieving 99.9%+ system availability. Defined system designs across APIs, services, and data layers; implemented event-driven workflows using Azure Service Bus, Event Grid, and Queue Storage with retries, idempotency, and saga-like coordination. Guided teams in building distributed systems with .NET Core, Azure App Services, Functions, and AKS; improved scalability, reliability, and maintainability. Designed and secured APIs with Azure API Management and Application Gateway; implemented Azure Active Directory-based SSO and RBAC for enterprise-scale access control. Improved CI/CD pipelines, reducing deployment time by ~40% and doubling release frequency. Optimized data access across Azure SQL, PostgreSQL, and Blob Storage; reduced API response times by ~25–30%. Served as technical lead for teams of 5–8 engineers, ment