* Designed and scaled the backend architecture of the calendar and bookings microservice for a vacation rental web application to handle large amounts of user activity
* Built out both a PostgreSQL and a Cassandra database implementation, benchmarked and optimized both to determine best fit for this microservice
* Used K6, Loader.io, and New Relic to test high traffic load and collect system performance metrics
* Deployed the micro service with a PostgreSQL backend database management system and horizontally scaled 4 EC2 t2.micro instances, using an Nginx load balancer to manage user requests
* Delivered a scaled microservice that could handle 1450 user requests per second with an error rate of less than 0.1%, a nearly 500% increase in performance and throughput