Jay Vekariya

Decomposed legacy Python monolithic application into 5+ TypeScript based microservices, enabling independent scaling and reducing deployment time from 20 minutes to 4 minutes. Architected centralized logging system from ground up using Fluent Bit and Elasticsearch, achieving 100% log visibility across all microservices and reducing debugging time by 75%. Optimized Docker infrastructure by migrating from Ubuntu to Alpine Linux, achieving 75% reduction in container sizes and significantly improving deployment efficiency. Developed NPM package with automated CI/CD pipeline, centralizing common service utilities and reducing code duplication by 70% across microservices.

Architected and deployed a user-friendly interface using React.js/JavaScript for internal team, resulting in a 5% increase in productivity metrics. Collaborated with cross-functional teams to gather feedback and iterate on the interface design, resulting in a 85% satisfaction rate among internal users. Utilized automation tools to streamline and optimize the Jenkins pipeline for a Java/Springboot application, reducing deployment time by 20% and increasing overall efficiency. Developed automated Bash scripts to update certificates in Java/Springboot systems, reducing manual effort by 50% and ensuring system security compliance. Researched and optimized Java application configurations, resulting in a 15% decrease in system downtime and a 10% increase in application performance metrics.