Lavanyha Arumugam

Engineered core account processing functionalities integrated with Form3's payment platform using Spring Boot, Microservices architecture, Kafka, and AWS S3. Developed and maintained Behavior-Driven Development (BDD) frameworks using Cucumber for Java, improving test coverage and reliability. Optimized code to ensure high performance and scalable solutions, enhancing system responsiveness. Acted as a mentor to junior developers, providing comprehensive technical guidance and fostering professional growth. Conducted thorough code reviews, promoting best practices and maintaining high code quality standards. Built foundational expertise in container orchestration and infrastructure automation using Docker, Kubernetes, and Terraform, contributing to streamlined deployment processes.

Designed and developed a candidate selection process application leveraging Spring Boot and microservices architecture, integrating RESTful web services for seamless operations. Enhanced data management by writing optimized SQL queries for effective database interactions. Leveraged Elasticsearch and Kibana for sophisticated querying and data visualization, improving data insights and monitoring capabilities. Built microservices to support a loyalty rewards program, enriching the customer experience through integration with third-party REST APIs. Actively collaborated in Agile development, contributing to all phases of the SDLC to maintain project momentum and quality. Worked closely with cross-functional teams to deliver resilient, scalable solutions aligned with business goals.

Automated the invoice regeneration process for a leading US apparel client, laying the groundwork for process efficiency and precision. Contributed to the development of an anomaly detection solution for an e-commerce platform, enhancing early issue detection and resolution. Applied Core Java and the ECR component of Infosys NIA to streamline workflow automation. Gained hands-on experience with the ELK stack (Elasticsearch, Logstash, Kibana) for comprehensive data extraction, analysis, and indexing. Utilized Grafana for visual output of anomaly detection, facilitating effective data visualization and decision-making. Employed Kafka for real-time data streaming, improving data throughput and reliability.