Isha Raj

Tech Stack: Java 17+, Spring Boot, Hibernate, React.js, Node.js, PostgreSQL, Oracle SQL Developer, Docker

• Designed and developed secure, scalable full-stack applications using Java (Spring Boot) and React.js, enhancing system performance and maintainability.
• Engineered microservices for SDT and Safety Portals, improving KPI visibility by 25% and reducing page load times by 30%.
• Integrated Two-Factor Authentication (2FA) to enhance user security, supporting compliance with enterprise security standards.
• Implemented an asynchronous job engine and notification system, improving workflow efficiency by 35%.
• Migrated legacy systems from PHP to Java + React, streamlining architecture and reducing technical debt.
• Developed critical tools like the Trainee Lifecycle System (1000+ users) and Medical OPD booking dashboard (10,000+ employees).
• Maintained secure coding practices, conducted code reviews, and implemented CI/CD pipelines using Git and Docker.
• Integrated third-party APIs and internal services using RESTful interfaces, ensuring data flow integrity and robustness.

Tech Stack: Java, Spring Boot, Apache Wicket, iBATIS, ELK Stack, and Oracle SQL Developer.

• Developed multiple modules for Mastercard's issuing platform, focusing on ISO-compliant banking APIs, and system performance optimization.
• Designed and implemented the 3-PIN retry feature to enhance secure authentication flows within the issuing platform.
• Utilized the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized log analysis and performance monitoring across development, QA, and production environments.
• Authored comprehensive developer onboarding documentation, reducing new hire ramp-up time by 50%.

• Performed data analysis on customer feedback for MRI machines, identifying patterns in performance issues, and user experience concerns.
• Cleaned, transformed, and visualized large datasets to highlight key customer pain points, and improvement opportunities.
• Generated analytical reports and dashboards to support cross-functional teams in enhancing product quality and customer satisfaction.
• Presented findings to stakeholders, enabling data-driven decisions in product support and engineering.
• Tools: Excel, SQL, Python (Pandas)