Jay Dave Email & Phone Number

Jersey City, Nj, Us

Pune, Maharashtra, In

Collaborated with cross-functional teams to implement scalable backend solutions with Spring Boot and Node.js: Used Spring Boot for backend services and Node.js with Express for handling asynchronous tasks. Employed Microservices architecture to decouple monolithic systems, enabling independent scaling and maintenance. Resulted in a more modular, maintainable, and scalable backend system that improved overall platform performance.Transitioned legacy monolithic e-commerce system to microservices: Led the design and architecture of microservices to replace the monolithic system, using Spring Boot and Docker for containerization. Ensured system resilience by implementing Circuit Breakers (using Spring Cloud), improving fault tolerance and availability.Implemented a scheduled task to automate catalog updates using Java and Hibernate: Used Quartz Scheduler with Hibernate for scheduled data parsing and automatic updating of product catalogs. This automation led to a 30% increase in data accuracy and reduced manual intervention, which boosted product visibility and contributed to a 15% increase in sales.Improved performance with New Relic and Sumo Logic for performance monitoring: Integrated New Relic for real-time performance monitoring and used Sumo Logic for log analysis and root cause identification. This proactive monitoring allowed for the identification of bottlenecks in the system, resulting in improved response time for 3,000+ online shoppers.

Pune, Maharashtra, In

Migrated over 3.5 million product images and order records to a centralized, microservice-based storage system: Used AWS S3 and MongoDB for storing large volumes of data in a distributed, scalable manner. Designed the migration plan to ensure minimal downtime and avoid data inconsistencies during the process. Reduced database size by 30% and operational costs by 15% through the migration, increasing system efficiency.Developed a unified customer support system using Universal Login and Nginx routing: Integrated Universal Login for centralized authentication, streamlining user login across platforms. Used Nginx as a reverse proxy to manage routing for multiple services, simplifying the architecture and improving scalability.Optimized SQL performance for search queries: Implemented query optimization techniques like parameterized queries and indexing on frequently searched fields. Improved database efficiency by 20% in terms of CPU and memory usage, which enhanced the e-commerce platform's search functionality and reduced search delays.

Ahmedabad, Gujarat, In

Utilized Python, Django, Celery, PostgreSQL, RabbitMQ, AngularJS, and AWS (EC2, RDS, S3) to developed multilingual modules for sending voice calls and SMS: Designed a system capable of handling 60 use cases in 10+ languages, integrating dynamic language configurations and text-to-speech (TTS) technology. Used Celery and RabbitMQ for task scheduling and load balancing, ensuring smooth performance during peak usage.Optimized system performance through horizontal scaling and load balancing: Implemented horizontal scaling by adding more server instances to distribute the load efficiently. Used Celery for asynchronous task management and RabbitMQ as a message broker to distribute tasks across servers. This resulted in reduced latency and consistent performance, even under peak loads, ensuring minimal system downtime.Improved API efficiency by implementing batch processing: Integrated batch processing for voice call requests to minimize overhead and improve throughput. This optimization reduced API request time, enabling the system to scale from 50K to 300K daily calls, all while maintaining infrastructure cost efficiency.Enhanced database performance through indexing and connection pooling: Optimized database queries by adding indexed fields and using connection pooling to manage DB connections effectively. These improvements led to a 30% reduction in query execution time, boosting overall system scalability.

Bengaluru, Karnataka, In

Developed GUI for Microwave Data Analysis Software (MIDAS) using Java and MapDB: Designed a user-friendly graphical interface to display complex satellite data. Used Java Swing for GUI components and MapDB for in-memory data storage and management, improving performance for data processing.Implemented image compression techniques and digital image processing: Integrated image compression algorithms to handle satellite imagery efficiently and digital image processing techniques to analyze satellite data. This contributed to applications such as glacier classification and oil spill detection, providing critical environmental insights.Worked on data visualization for satellite analysis: Developed graphical tools to display the processed data, including charts and graphs, which helped in visualizing complex satellite data trends. This allowed scientists to make more accurate predictions regarding environmental changes.

Master'S Degree, Computer Software Engineering

Bachelor Of Technology, Ict