Navya Sureddy

Spearheaded the development of an Angular-based single-page application integrating multiple backend services with data stored in an Oracle database. Leveraged Angular, JavaScript, and MS-SQL Server, alongside Spring Boot for backend operations to architect a robust and scalable application. Led approximately 70% of UI development and 30% of backend tasks, coordinating feature selection to optimize automation processes using machine learning and AI. Developed TypeScript reusable components and services following Angular’s component-based architecture to facilitate efficient data exchange via REST APIs. Navigated Snowflake and AWS S3 to load data from various source systems, including loading nested JSON data into Snowflake tables. Authored approximately 1,800 Karma/Jasmine unit tests for validation. Integrated SonarQube with CI/CD pipelines to automate code analysis and reviews on every commit, improving code quality and reliability.

Spearheaded UI improvements for the RPC Alerts landing page; created tailored software components including Debit Posted, Credit Card, Payment, Payment Due, Balance Check, and Contact to guide users to relevant pages. Led UI improvements for a web-based content management system using React and Redux. Employed Node.js frameworks like Express and Loopback to mock RESTful APIs, ensuring efficient data handling. Demonstrated proficiency in the Node.js environment, utilizing NPM, Grunt, and Groovy Bower, alongside MVC frameworks for robust web application development. Contributed to application-level code to interact with TCP/IP, APIs, Ethernet IP and RESTful Web Services using AJAX and JSON. Collaborated on frontend development using HTML, HTML5, jQuery, CSS3, and JavaScript, Bootstrap, along with SOAP web services for seamless integration between applications.

Developed scalable and efficient data governance applications in Java and Spring Boot to enforce data standards, thereby increasing data integrity and monitoring across platforms. Automated application workflows using Unix and Spring Boot microservices for efficient job execution. Deployed Kafka streaming with publisher and subscriber functionality to enable asynchronous processing, enhancing data workflow efficiency and scalability, leading to improved performance and scalability of data processing. Implemented Docker for streamlined application deployment and consistent environments. Designed software architecture and maintained Microsoft SQL databases, including writing and implementing Stored Procedures, SQL queries with optimized joins, analytic functions, and sub-queries.