Amazon Pharmacy Fulfillment Team

AWS Fargate Team• Spearheaded the design and independently implemented action based authorization for service’s APIs • Collaborated in all stages of data storage migration in order to support increased traffic levels and improve performance• Primarily coded in Java, actively engaging in weekly code reviews to deliver production-ready code• Participating in daily Scrum meetings and bi-weekly Sprint planning and retrospectives, as well as weekly operational and on-call reviews

Alexa Data Team• Designed and produced a new AWS architecture for the current customer dataset configuration process• Developed several programs in Java to review and run customers code against previous and new restrictions• Streamlined Alexa team members approval of customers code reviews• Implemented several AWS features simultaneously including S3 buckets, DynamoDB tables, and Lambda functions within a Step Function• Participated in daily Scrum meetings and bi-weekly Sprint planning and retrospectives

Fulfillment By Amazon Team• Refactored reimbursement event program to simplify and update logic in Java• Created an alternative structure of Distributed Job Scheduling (DJS) using multi-threading service, AWS Step Function and AWS Fargate tasks• Pushed code to production to lower current DJS run times and improve program performance• Shadow tested program through terminal using Docker Logs and submitted daily code reviews using Git

Customer Trust and Partner Support Team• Developed new webpage/service to hold dashboard used by Amazon Customer Trust and Partner Support team managers to track employees progress on tasks • Pair-programmed in Python to embed dashboard using AWS Lambda function and AWS API Gateway to present to users on new service• Expanded user experience by adding new features including notification options and comment section using Amazon Redshift Database and customer recommendations