Created Kafka streaming applications to consume, process, and produce huge volumes of data

Supported and extended an MQTT broker (HiveMQ) to connect millions of vehicles to our platform

Utilized Reactive programming patterns (RxJava & Reactor) to create highly scalable and performant services

Employed Kubernetes to support multiple microservices across multiple environments

Ferried services from infancy to production-ready, robust applications

Followed Test-Driven-Development (TDD) practices and pair programming

Interacted regularly with customers outside of the organization to solicit feedback and help with integration

Constructed a monitoring and notification system for large clusters using Nagios Core and Ansible

Developed custom plugins in Python and Bash to monitor hard disk and RAID status, certificate and password expiration, and application-specific services like Apache NiFi and MongoDB

Collaborated with a large team using Git (Stash), Confluence, and Jira

Followed agile methodologies to keep development process efficient

Documented a frequently hit REST API using the Swagger specification in the form of PHP annotations that allowed for dynamic document generation

Presented a technical paper and presentation on the above topics

Created MySQL scripts to correct data typing issues to allow for Data Virtualization integration

Processed flat files into database-ready imports using Python, BASH, Groovy, and AWK scripts

Implemented a Java EE Batch solution for incremental updates and backups to data

Utilized the Spring Framework to process requests and encrypt payloads via a streaming model

Profiled RFID software using jconsole and jvisualvm to fix garbage collection issues

Developed SMART on FHIR applications over a health information database