SANDHYA DODIYA

Developed and Delivered the beta version of talent marketplace. Made significant contribute to reduce API response time by ~40% through caching and query optimization. Utilized asynchronous task using RabbitMQ & caching to improve scalability & reliability. Designed and implemented Microservices & RESTAPIs using Python, frontend using JavaScript, data storage and retrieval using MySQL for a talent marketplace that connects skilled professionals with leading Global Capability Centers (GCCs) and multinational organizations. Implemented asynchronous email delivery using Python AsyncIO, Celery, and RabbitMQ for non-blocking background processing. Optimized application performance by implementing caching(Redis), bulk database operations, connection pooling, and lazy loading. Designed backend services using OOP and SOLID principles.

Developed Splunk applications using distributed system architecture, which collects, indexes, analyzes, and visualizes machine-generated data in real-time and functions as a Security Information and Event Management (SIEM) tool. Developed scalable and reliable testing framework for Splunk SOAR using selenium, increasing test coverage by 48% and reducing bug count by 59%. Designed data ingestion workflows from third-party APIs and developed dashboards to visualize key metrics in near real time.

Integrating REST APIs and WebSocket APIs using JavaScript for a product called Tendant which designed to help professional services organizations maximize revenue generation while reducing the risk and expense associated with commingling business and personal data on a smartphone device.

Designing responsive websites using the HTML, CSS & JavaScript. Built Single Page Applications (SPA) using Angular 2.0 for enhanced user experience, faster page rendering and dynamic content update without rendering full page reload. Designing email templates using HTML, CSS, and tools like Mailchimp, ensuring high deliverability and responsiveness.