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Uday Dogiparthi - Sr. Full Stack Developer

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UDAY DOGIPARTHI LinkedIn | [email protected] | +1 865 401-0449 PROFESSIONAL SUMMARY Senior Full Stack Java Developer with 10+ years of extensive experience across healthcare, financial services, retail, and telecom sectors. Demonstrated strong expertise in Java 8/11/17/21, J2EE, Spring Boot, Spring MVC, Spring Security, Spring Cloud, and Spring Batch microservices development, scalable web applications through complete software development lifecycles from initial design and implementation to production deployment, performance optimization, and ongoing support. Delivered exceptional front-end solutions by developing provider-facing portals using Angular 17, TypeScript, HTML5, CSS3, JavaScript, jQuery, and Bootstrap for a HIPAA-compliant healthcare provider management platform. Directly contributed to improved provider experience by building credential management, scheduling, and claims review interfaces across the portal. Developed and optimized frontend dashboards, merchant-facing interfaces, and retail inventory screens using React.js 17/18, Redux, React Router, Bootstrap 4/5, TypeScript, Angular, Webpack, and Babel across PCI-DSS compliant payment and retail platforms, enabling real-time transaction monitoring, inventory visibility, and faster order fulfillment. I implemented Spring Context, Data, and Security to enhance modularity and maintainability across microservices for financial transactions and healthcare data management, integrated Spring MVC for web development, and built scalable RESTful APIs and SOAP services using Java 17, Spring Boot 3.1, WSDL, XML, and Apache CXF, improving system response times and handling high-concurrency workloads. Utilized advanced Java features including Lambdas, Streams, CompletableFutures, and multithreading to enhance data processing performance across healthcare provider workflows and real-time financial transaction processing. Created and documented RESTful API endpoints using Swagger, ensuring clear integration contracts across all microservices. Demonstrated deep expertise in Spring Framework modules including Spring MVC, Spring JDBC, Spring Boot, Spring Security, and Spring Kafka across healthcare provider data processing and payment orchestration platforms. Streamlined application development processes, resulting in faster delivery of critical business features across domains. Managed structured and semi-structured data across healthcare and fintech platforms using Azure CosmosDB, Oracle 19c, MongoDB, and Cassandra 3.x/4.x, leveraging Spring Data, Spring Data MongoDB, SQL, NoSQL, and CRUD operations to optimize data retrieval, query performance, and schema design across all platforms. Established robust authentication and authorization mechanisms for RESTful APIs using OAuth 2.0 and JWT tokens across healthcare and fintech platforms. Ensured secure and controlled access to sensitive data while maintaining strict HIPAA compliance in healthcare environments and PCI-DSS standards in financial services. Built Kafka producers and consumers with AVRO schemas for real-time provider lifecycle event processing in a healthcare platform and Kafka Streams for handling high-volume financial transactions in a payment platform. Used Amazon SQS for background task processing in fintech and Azure Service Bus for guaranteed message delivery in healthcare. Managed version control using Git and collaborated through GitHub across healthcare, fintech, and retail projects, synchronized Kafka Streams with event-driven pipelines for real-time data processing across provider lifecycle and financial transaction monitoring, and implemented monitoring for containerized microservices using Kafka and Amazon SQS to enhance speed, reliability, and delivery of payment notifications and provider update events. Implemented comprehensive monitoring and observability for Docker-containerized microservices across healthcare and fintech platforms using Prometheus, Grafana, and set up messaging pipelines using Kafka, Amazon SQS, and Jenkins to improve speed, reliability, and guaranteed delivery of payment notifications and provider update events across all services. Successfully performed cloud-based deployments on AWS EKS for fintech payment services and Azure Kubernetes Service for healthcare provider management workloads, integrating cloud services including Azure CosmosDB, Azure Blob Storage, Azure Service Bus, and Azure Active Directory. Created scalable and secure application infrastructures while maintaining strict HIPAA and PCI-DSS compliance requirements. Implemented Kubernetes clusters across AWS EKS for fintech, AKS for healthcare, and GKE for retail platforms, achieving high system availability by ensuring fault tolerance, scalability, and resilience of microservices managing critical provider, payment, and inventory data, while supporting seamless deployment and consistent performance across all three domains. Integrated rigorous code quality practices into CI/CD pipelines across healthcare, fintech, and retail engagements, incorporating unit testing with JUnit and Mockito, API validation with Postman, and static analysis tools. Developed and maintained end-to-end CI/CD pipelines using Jenkins, enabling early bug detection and maintaining high code quality standards. TECHNICAL SKILLS Backend Technologies: Java 8/11/17/21, J2EE, Spring Boot 3.0/3.1, Spring MVC, Spring Core, Spring IoC, Spring AOP, Spring ORM, Spring JDBC, Spring Security 5.7, Spring Batch, Spring Cloud, Hibernate, HQL, JDBC, RESTful APIs, RestTemplate, OpenAPI, Swagger UI, Maven, Tomcat, IBM WebSphere, Struts, JSON, XML, SQL, PL/SQL, JWT, OAuth 2.0, RBAC, FHIR, HL7. Frontend Technologies: Angular 17, React 17/18, TypeScript, JavaScript, HTML5, CSS3, jQuery, Bootstrap 4/5, React Router 5/6, Redux, NPM, Webpack, Babel, JSP Methodologies: Agile Safe 6, Waterfall, TDD, UML, Scrum, CI/CD, TDD Frameworks: Spring (IoC, Boot, AOP, ORM, Security, Batch, Cloud), Hibernate, Struts, J2EE Messaging and Streaming: Apache Kafka, Kafka Streams, AVRO, Amazon SQS, Azure Service Bus, Google Cloud Pub/Sub. Databases: Oracle 19c, MySQL, MongoDB, Cassandra 3.x/4.x, Azure CosmosDB, Google Cloud Spanner, GCP Cloud SQL, Azure Blob Storage, NoSQL, HQL, SQL, PL/SQL. Design and Version Control: Git, GitHub, SVN, Jira, Eclipse App Servers: Apache Tomcat, IBM WebSphere, NGINX Cloud Platforms: Azure (AKS, Azure Container Registry, Azure Active Directory, Azure CosmosDB, Azure Blob Storage, Azure Service Bus, Azure VMs), AWS (EKS, ECR, RDS, EC2, SQS), GCP (GKE, Google Cloud Monitoring, Cloud Trace, Google Cloud Pub/Sub, Google Cloud Spanner, GCP Cloud SQL, Google Cloud Build) DevOps and Containerization: Docker, Kubernetes, Helm, Kubernetes Operators, Jenkins, GitHub, Git, CI/CD Monitoring and Observability: Prometheus, Grafana, Google Cloud Monitoring, Cloud Trace, JProfiler Security: OAuth 2.0, JWT, Spring Security, RBAC, HIPAA, PCI-DSS, Azure Active Directory, FHIR, HL7 Unit / Integration Testing: JUnit, Mockito, Protractor, TestNG, Cucumber, Jest, Enzyme, JMeter, Mocha, Postman Operating Systems: Windows, Linux, UNIX PROFESSIONAL EXPERIENCE HCA Healthcare June 2023 Current Senior Full Stack Developer Tampa, FL Worked across the full Software Development Life Cycle of the Healthcare Provider Management Portal, a cloud-based platform built for healthcare providers and stakeholders to manage provider profiles, credentials, schedules, and claims, contributing from initial design through production deployment using Java 17/21, Spring Boot 3.3, Angular 17, Kafka, Azure CosmosDB, MongoDB, and Azure Kubernetes Service. Ensured microservices met HIPAA compliance standards by implementing data encryption, audit logging, and access control using Spring Security, OAuth 2.0, and Azure A D, while supporting interoperability through FHIR and HL7 standards. Built the provider-facing portal using Angular 17, HTML5, CSS3, JavaScript, jQuery, and Bootstrap, developing key modules including a provider profile management page, credential upload and tracking system, schedule management interface, and claims review screen with dynamic filters, pagination, and responsive user interactions. Constructed routing logic in Angular 17 with role-based route guards using JWT claims and TypeScript to control screen-level access for providers, administrators, and internal stakeholders, and implemented a secure client-side login flow fully integrated with OAuth 2.0, Azure Active Directory, and Spring Security ensuring seamless authentication and authorization across the portal. Built reusable TypeScript components and services using Angular, RxJS, and NgRx that consumed backend RESTful APIs, following Angular's component-based architecture, and implemented Angular Router with lazy loading to optimize initial page load times, improve navigation performance, and ensure a smooth, responsive user experience across the portal. Developed four Spring Boot 3.3 microservices including Provider Profile Service, Credential Service, Schedule Service, and Claims Service using Java 17 with Maven as the build tool, and integrated Maven with Jenkins CI/CD pipelines to automate compilation, unit testing, and artifact packaging on every code commit through GitHub. Implemented data access layers across microservices using Spring JDBC, Spring Data, and Spring Context for declarative transaction management, and designed Azure CosmosDB schemas to store structured operational data including provider profiles, onboarding records, and schedule information, built and packaged with Maven. Used advanced Java 17 features including sealed classes, pattern matching for instanceof, and text blocks to implement non-blocking parallel service logic across microservices, significantly improving throughput, reducing response times, and enhancing performance and reliability for high-concurrency operations such as profile lookups and credential checks. Managed semi-structured data including credential document metadata and provider audit logs in MongoDB, performing CRUD and DML operations against collections, and stored provider-uploaded documents including licenses and certifications in Azure Blob Storage with only metadata and file references persisted in MongoDB. I built Kafka producers and consumers for asynchronous communication across Provider Profile, Credential, and Schedule services using the publish-subscribe model, employed AVRO schemas for message serialization, and implemented Kafka Streams for real-time event transformation and routing. I also designed an event-driven architecture with Apache Kafka, Spring Kafka, and Spring Cloud Stream to decouple update propagation across Docker-containerized services. Used Azure Service Bus for background tasks requiring guaranteed message delivery including credential expiry notifications and onboarding status transitions, configured dead-letter queues for automatic retry processing, and integrated Azure CosmosDB, Azure Blob Storage, and Azure Active Directory to manage secure access, structured provider data, and document storage across all decoupled microservices. Integrated Swagger UI into all four Spring Boot microservices to provide interactive API documentation, enabling QA teams and stakeholders to explore and test endpoints, and implemented versioning and pagination strategies across all RESTful APIs to maintain backward compatibility as the portal evolved. Set up Jenkins CI/CD pipelines integrated with GitHub and Azure Container Registry (ACR), automating the complete delivery workflow including code build, unit test execution, Docker image creation, image push, and rolling deployments to Azure Kubernetes Service (AKS), ensuring zero-downtime releases, consistent deployment quality, and faster delivery cycles across all microservices in production environments. Used Git and GitHub with a branch-based collaboration workflow across all microservices and the Angular frontend, managing feature development, code reviews integrated into the Jenkins pipeline, and automated Docker image builds pushed to Azure Container Registry on every pull request merge for consistent and reliable deployments. Conducted backend testing using JUnit for unit test coverage across all service and repository layers, Mockito for mocking external service dependencies including partial mocks and method-level stubbing to cover credential renewal workflows and profile update edge cases, and Postman for end-to-end REST API validation across all four microservices. Designed and configured Azure Kubernetes Service (AKS) cluster deployments using Kubernetes manifests including deployments, services, config maps, and secrets, managed Docker image distribution through Azure Container Registry, and used Helm charts to ensure seamless environment-specific configuration injection and stable high-availability operation across all containerized microservices. Containerized all microservices using Docker with multi-stage builds to produce lean, production-ready images, and deployed them to Azure Kubernetes Service (AKS) using rolling update strategies managed by Kubernetes replica sets, ensuring zero-downtime deployments, improved scalability, and consistent release performance across all deployment cycles. Executed and maintained a full-scale Continuous Delivery pipeline using Docker, Jenkins, GitHub, and Azure VMs as build agents, automating build, test, image creation, and AKS deployment stages, improving release reliability, minimizing manual intervention, and significantly reducing deployment cycle time across the team. Secured all backend microservice endpoints using OAuth 2.0 with Azure Active Directory for authentication, JWT tokens for stateless API communication between services, and Spring Security with role-based access control to enforce granular permission policies across the entire Healthcare Provider Management Portal. Environment: Java, Spring Boot, Angular, TypeScript, HTML5, CSS3, JavaScript, jQuery, Bootstrap, Maven, MongoDB, Kafka, AVRO, Azure (Service Bus, Active Directory, Blob Storage, CosmosDB, VMs, Container Registry, AKS) Git, JUnit, Mockito, Postman, Docker, Kubernetes, Jenkins, GitHub, CI/CD, OAuth 2.0, RESTful APIs, Spring JDBC, Spring AOP, CRUD, FHIR, HL7, JWT, Spring Security, RBAC. MasterCard August 2020 May 2023 Senior Full Stack Developer Purchase, NY Worked across the full Software Development Life Cycle of the Digital Payment Platform, a real-time payment processing system built with Java 17, Spring Boot 3.0, React.js, Kafka 3.x, Oracle 19c, and AWS EKS connecting banks, merchants, and third-party payment gateways to process digital transactions, with the main goal of increasing transaction rates and reducing payment failures. Built the frontend layer using React.js 17, Bootstrap 4, JavaScript, TypeScript, HTML5, CSS3, and jQuery, developing a payment transaction dashboard, merchant management screens, a payment monitoring screen, and dynamic filtering forms that gave merchants, banks, and internal operations teams real-time visibility into transaction activity. Implemented React Router to handle navigation between all frontend screens without page reloads, and used Redux for centralized state management to keep transaction data consistently in sync across every component of the payment processing dashboard, leveraging predefined NPM components to accelerate frontend development. Developed four Spring Boot 3.0 microservices including Payment Service, Fraud Check Service, Settlement Service, and Notification Service using Java 11 with Maven, transitioning the platform from a monolithic architecture to microservices with Spring MVC and OpenAPI specifications deployed on AWS with automated scaling. Built an API Gateway using Spring Boot 3.0 that acted as the single-entry point for all incoming requests, handling routing, authentication, and rate limiting across all backend microservices, and developed all backend RESTful APIs using Spring MVC with RestTemplate for external service connections between frontend and backend services. Used Java 11 features including local variable type inference with the var keyword for cleaner service logic, improved String methods such as strip, is Blank, and lines for efficient data processing, and the built-in HTTP Client API for streamlined inter-service communication, implementing non-blocking high-throughput service logic capable of handling 10,000 transactions per minute across all payment processing microservices. Developed REST microservices using Spring Cloud and Spring Config for distributed configuration management, integrated Oracle 19c and Cassandra 3.x with support for JSON and XML data formats, and used Hibernate ORM for automated mapping between Oracle database tables and Java objects with complex SQL queries and PL/SQL stored procedures. Built Kafka 2.x producers and consumers with AVRO schemas for real-time event-driven transaction processing using the publish-subscribe model, and implemented Kafka Streams for real-time transformation and routing of payment events, ensuring data consistency and fault-tolerant stream processing across all downstream services. Stored structured transactional data including transaction IDs, amounts, bank IDs, and payment gateway records in Oracle 19c using Hibernate ORM, complex SQL queries, and PL/SQL stored procedures, and stored semi-structured data including transaction monitoring, service activity, and audit logs in Cassandra 3.x/4.x improving cluster performance through optimized NoSQL schema design and queries for large-scale financial workloads. Secured all backend microservice endpoints using OAuth 2.0 with JWT tokens for authentication and Spring Security for role-based authorization, implementing robust encryption protocols and access control mechanisms to ensure controlled access to sensitive financial data and meet PCI-DSS compliance requirements across the entire platform. Configured EC2 instances for hosting the API Gateway, Jenkins server, and Kafka brokers, integrated AWS RDS to host Oracle 19c with automated backups and failover, used Amazon SQS for background task and message queue management between system components, and stored all Docker images in AWS ECR. Containerized all microservices using Docker and deployed them on AWS EKS, optimized cluster deployments through Helm and Kubernetes Operators to automate operational processes, and managed cluster infrastructure across the AWS cloud environment to ensure fault tolerance and high availability across all payment processing services. Conducted backend testing using JUnit for unit test coverage across all service and repository layers, Mockito for mocking external dependencies including fraud check and payment gateway integrations, and Postman for end-to-end REST API validation across all four microservices and the API Gateway. Set up Jenkins CI/CD pipelines connected to GitHub and AWS ECR, automating the complete delivery workflow covering code build, unit test execution, Docker image creation, image push, and rolling deployment to AWS EKS, established Maven build profiles for different deployment environments, and used Git with a branch-based workflow for source code management and team collaboration across the platform. Environment: Java 11, Spring Boot, Spring Cloud, Spring Config, Spring Security, Spring MVC, Spring IoC, Spring AOP, Spring Batch, React.js, Bootstrap, React Router, Redux, TypeScript, JavaScript, HTML5, CSS3, jQuery, NPM, Maven, Hibernate ORM, Oracle, Cassandra, SQL, PL/SQL, NoSQL, JSON, XML, OpenAPI, Apache Kafka, Kafka Streams, AVRO, Amazon SQS, AWS EKS, AWS ECR, AWS RDS, AWS EC2, Docker, Kubernetes, Helm, Kubernetes Operators, Jenkins, GitHub, Git, CI/CD, OAuth 2.0, JWT, Spring Security. Costco October 2017 July 2020 Java developer Issaquah, WA Worked as a Java Developer on the Inventory and Order Management System, a scalable platform used by warehouse staff, store managers, and customers to manage product inventory, warehouse operations, and order processing across multiple store locations, following Agile methodologies throughout the development lifecycle with the main goal of providing real-time inventory visibility and faster order fulfillment across all store locations. Collaborated with the frontend team on building responsive inventory management and order tracking interfaces using React, Bootstrap, TypeScript, HTML5, and CS,S3, and supported frontend performance optimization through Webpack bundling, Babel code conversion, and Redux state management to ensure consistent data flow across retail management screens. Developed four Spring Boot microservices including Product Catalog, Inventory, Order Management, and Audit Services using Java 8 and Maven, leveraging auto-configuration to reduce boilerplate, and deployed on embedded Tomcat servers to handle product management, inventory tracking, order processing, and system logging. Implemented Spring Core dependency injection and Spring MVC to build RESTful APIs with OpenAPI specifications across all microservices, and used Spring AOP to handle cross-cutting concerns such as logging and transaction management, reducing development time and improving code modularity across inventory and order management processes. Applied Spring ORM with Hibernate for retail database operations across all microservices, using annotation-based mapping and collections for the DAO layer, and utilized Java Stream API, method references, and functional programming techniques to improve code readability and backend processing performance across inventory and order workflows. Stored structured data including product information, inventory levels, and order records in MySQL using Spring Data JPA, Hibernate, and JDBC for efficient data access, and stored semi-structured data including audit logs and product metadata in MongoDB, designing schemas in both databases to support high-volume retail data workloads across multiple store locations. I used Kafka, Spring Kafka, and Spring Cloud Stream for real-time inventory sync, where the Order Management Service published events and the Inventory Service updated stock levels through Spring Boot microservices. I also managed config with Spring Cloud Config, Spring Boot, Docker, and deployed to GKE, ensuring consistency across environments. Implemented Spring Boot microservices on Google Kubernetes Engine (GKE) for warehouse management workloads, ensuring scalability and resilience across all services, and configured JDBC data sources and connection pools for MySQL retail databases hosted on GCP Cloud SQL for reliable structured data access. Created end-to-end monitoring and observability solutions for GKE clusters using Google Cloud Monitoring and Cloud Trace, designed and configured Prometheus and Grafana dashboards for real-time insights into microservice health, resource utilization, and inventory event processing performance, enabling proactive issue detection, faster troubleshooting, and improved operational reliability across all warehouse management services. Conducted backend testing using JUnit, Mockito, Spring Test, and Postman across all microservice layers, established CI/CD pipelines to automate build, test, and deployment stages to GKE, deployed frontend services on NGINX for optimal performance, and used Git with a branch-based workflow for source code management and team coordination across the inventory and order management platform. Environment: Java, Spring Boot, Spring MVC, Spring AOP, Spring ORM, Spring Cloud Config, Hibernate, React, Bootstrap, TypeScript, HTML5, CSS3, Webpack, Redux, Maven, MySQL, MongoDB, GCP (Cloud SQL, Kubernetes Engine, Cloud Monitoring), Cloud Trace, Prometheus, Grafana, Kafka, JDBC, OpenAPI, Tomcat, NGINX, JUnit, Mockito, Git, CI/CD, RESTful APIs, Agile. Verizon December 2015 September 2017 Backend Developer Basking Ridge, NY Worked as a Java Developer on telecommunications service provisioning and customer management systems at Verizon, participating in all phases of the Software Development Life Cycle using Agile methodology from requirement gathering through design, code development, testing, and deployment, and documented complex network processes using UML diagrams to ensure clarity, consistency, and smooth collaboration across project teams. Managed multi-tier application architecture using JSP, JavaScript, and Hibernate frameworks for customer billing systems, and conducted performance tuning with JProfiler to optimize end-of-day load processing, significantly reducing system response times during peak usage periods. Developed microservices and RESTful APIs using Spring Cloud and Spring Security to handle sensitive customer data and service provisioning workflows, and created intuitive user interfaces integrated with Spring Boot REST API services, improving customer service representative efficiency and reducing call handling times. Customized default Spring Boot configurations to enhance application flexibility across telecommunications environments, and developed specialized code components using Spring MVC for web service calls, efficiently fetching and processing data from network backend systems while improving performance and maintainability. Configured Google Cloud Pub/Sub with Spring Integration and schema-based serialization using GCP Schema Registry for real-time event streaming, implemented exactly-once processing semantics for billing and customer data systems, provisioned Google Cloud Spanner clusters for telecommunications data storage, and deployed Spring Boot microservices on GKE within GCP maintaining optimal database performance and high uptime for critical customer-facing applications. Configured and optimized GKE clusters running Docker-containerized Spring Boot microservices, leveraged Kubernetes service mesh with Google Cloud Monitoring for secure inter-service communications, and improved performance through resource optimization and automated scaling policies. Contributed to open-source Maven plugins for telecommunications build requirements, set up Google Cloud Build and Jenkins CI/CD pipelines with Git-based workflows for automated deployment, integrating automated testing and quality assurance processes, and conducted training sessions for development teams on advanced Maven features to manage complex build configurations across network-critical systems. Environment: Java, Spring Boot, Spring Cloud, Spring Security, Spring MVC, JSP, JavaScript, Hibernate, JProfiler, Google Cloud Pub/Sub, Google Cloud Spanner, Google Cloud Build, GKE, GCP, Maven, Git, Jira, UML, RESTful APIs, CI/CD, Agile. Ceva Logistics: May 2014 October 2015 Backend Developer Mumbai, India Worked as a Backend Developer on logistics tracking and supply chain management systems at Ceva Logistics, implementing Scrum practices across software development teams to boost velocity, enhance collaboration, and improve project predictability, achieving faster delivery of high-quality, reliable software products that significantly reduced timelines and optimized operations for critical shipping management systems. Applied design patterns including Singleton, Factory, and J2EE patterns such as Business Delegate and Session Facade in logistics tracking applications, and used Spring Framework, Spring Boot, Hibernate, and Maven with IoC dependency injection to integrate service objects into action classes, improving code modularity, reducing coupling, and enhancing maintainability across freight management systems. Executed supply chain applications under J2EE architecture using Spring, Struts, and Hibernate for logistics data management, developed microservices with Spring Boot while implementing Coherence cache for frequently accessed shipping data, and utilized Hibernate for Object-Relational Mapping with HQL for complex shipment tracking queries, integrating third-party logistics APIs to improve functionality and performance for international shipping operations. Developed user interfaces for logistics dashboards using HTML, JavaScript, and JSP for real-time shipment monitoring, and generated Java components including Bean classes using Eclipse on IBM WebSphere for logistics portals, improving usability and operational efficiency across the logistics platform. Implemented Spring AOP modules to handle cross-cutting concerns including security and logging across all logistics applications, and developed RESTful and service-oriented backend components using Spring Boot and Spring MVC to support warehouse management and freight tracking workflows across global shipping networks. Conducted comprehensive testing using JUnit for logistics application components and Protractor for automation testing of web interfaces, used Git for version control and Eclipse as the primary development IDE, and utilized Maven for build automation and Jira for project workflow management, improving code reliability and streamlining collaboration across all logistics application development cycles. Environment: Java, J2EE, Spring Framework, Spring Boot, Hibernate, HQL, JSP, HTML, JavaScript, Struts, Coherence, IBM WebSphere, RAD, Spring AOP, SVN, Eclipse, JUnit, Protractor, Scrum, APIs. EDUCATION Bachelor of Technology Computer Science SRM University -- Jun 2010 Apr 2014 Keywords: continuous integration continuous deployment quality analyst user interface javascript sthree procedural language Florida New York Washington