• Leading the ongoing migration of Apeel's IoT devices and core software’s log pipeline to Fluent Bit and Fluentd, resulting in a 95% cost reduction while achieving a 25% latency reduction
• Designing and deploying log pipeline using software tools like Datadog for real-time monitoring to enhance log processing capacity for proactive issue identification along with deployment using tools like Balena, Docker Compose and Terraform
• Actively developing and maintaining Apeel Core software using Python, PostgreSQL, Docker, while collaborating with the team to enhance functionality
• Worked as a backend engineer to handle daily merchant payouts for Poynt Smart Terminal which manages an annual revenue of $29.4M using Java in Spring MVC
• Developed GraphQL APIs for Reporting Service to gather complex payout data from both real-time streamed sources like Kafka and micro services to generate reports for POS (Point of Sale) device users resulting in 30% more detailed output
• Designed and executed workflows based on Gremlin queries to retrieve data across micro services for accurate report generation, reduced fraud activity and better verification
• Created over 45 automated tests for APIs using Postman, to reduce manual testing time to ~3s and increase efficiency
• Implemented a new structure for automated alerts using Elastic APM in case of API exceptions and errors thrown, resulting in 65% less silent failures from reconciliation service
• Developed a standalone RESTful API service for Poynt Smart Terminal using Java in Spring Boot framework
• Wrote automated tests using Postman to check transaction data used by 500,000 business to generate 4M+ reports/day
• Collaborated with senior engineers, product managers and participated in sprint planning for agile software delivery