• Led and guided the entire development team of 20 through an acquisition transition, implementing new standards such as Jira and Agile development, best practices such as unit testing, CI/CD, and standardized code reviews

• Introduced and created Kubernetes deployments with Docker, AWS EKS, and GoCD to improve service scalability, reliability, maintainability, cost, and deployment ease for 5+ Django and FastAPI Python services

• Led, designed, and built the new EDI shipment data system that interacts with AWS S3 and PostgreSQL using Python, Docker, Kubernetes and Apache Kafka to support a pivotal change for PeriShip – from single to multi-carrier focused data and services

• Introduced and integrated AWS DocumentDB into new projects to reduce cost of and migrate away from MongoDB Atlas

• As the sole engineer responsible for the EDI (shipment) data system, designed, built, tested, and maintained critical data-intensive microservices that parse and update data used by every customer-facing product

• Maintaining and improving the EDI data system involves working with data in PostgreSQL and MongoDB, configuring and troubleshooting AWS services like Lambda/EC2/S3, debugging production issues with logging tools like AWS CloudWatch and Grafana Loki, and developing features/fixes using Python and Apache Kafka

• Proposed and led new bug-hunting sessions with developers and product managers to improve products as a team

• Onboarded and mentored 2 new hires by providing guidance on best practices and assisting in development tasks

• Increased process performance by up to 6 times by introducing concurrent workflows with multi-partition Kafka

• Reduced infrastructure cost of a core data service by 97% by introducing serverless cloud computing (AWS Lambda)

• Developed public serverless RESTful APIs and FastAPI webhooks for important PeriShip customers and external vendors

• Led and designed PeriShip’s new auto phone call notification feature – collaborated with Five9 engineers to integrate new webhooks and workflows; designed PostgreSQL database schemas; developed event-driven Python services

• Reduced downtime of critical service failures (days/hours to minutes) by developing an automated monitoring system

• Improved customer onboarding process by driving documentation importance and creating new guides and diagrams