RAJ ARYAN

Led the development and optimization of high-priority microservices and real-time monitoring systems, significantly boosting revenue and operational efficiency.

• Spearheaded the development and ownership of a high-priority, scalable 'Security Dashboard' microservice using Spring Boot, Camunda Rule Engine, Kafka, and Redis, managing over 10 million daily events and boosting company revenue by 25%.
• Optimized workflow within the Security Dashboard Service by implementing thread-pool, async, virtual threads, and multithreading, reducing r6g.xlarge instances from 6 to 3 and decreasing infrastructure costs by 40%.
• Engineered a central 'Ticket Management Service' to streamline employee feedback and commute-related queries, eliminating JIRA dependency and reducing operational costs by 20%.
• Enhanced an event-based scheduling microservice ('Employee Drop Verification') by migrating from DB Scheduler to AWS Step Functions and Lambda, resulting in a 30% reduction in costs.
• Implemented Server-Sent Events with HTTP/2 to enable instantaneous, zero-latency, real-time monitoring of employee safety alerts.
• Developed a Grafana Dashboard for the Security Dashboard service, integrating custom Prometheus metrics and an alerting system, ensuring quick resolution of blocker issues and maintaining 99.97% system availability.

Optimized database performance, enhanced real-time alerting systems, and designed robust data integrity frameworks, improving system reliability and security.

• Migrated and optimized over 80 user-related queries from JDBC to Spring Data JPA, centralizing encrypted PII data handling and implementing multi-tenant authorization/authentication, reducing database response time by 30%.
• Transformed the real-time safety alerting system from SNS to Kafka, achieving exactly-once delivery, increasing throughput by 20%, and decreasing system latency by 15%.
• Engineered a generic Kafka framework incorporating Retry Mechanisms and a Dead-Letter Queue, establishing a zero data loss policy and reducing Kafka cluster lag by 20%, thereby enhancing data integrity and system reliability.
• Architected a scalable DB Scheduler using the factory pattern, which streamlined task generation, markedly reduced server startup latency, and significantly enhanced operational efficiency.
• Developed a 'Woman Travelling Alone Alert' feature, bolstering safety protocols by automating security notifications for solo female employees, enhancing employee safety and peace of mind.