Lead level breakdown of scope of work of projectsActed as a subject matter expert and point of contact for the group, quality assurance team and product ownerDecomposed requirements for offshore teamsOrganized knowledge transfer sessions to onboard junior teammatesEnhanced tools, data, and code quality to ensure an optimal ROI for clients Utilized Jenkins and Gitlab to automate CI/CD pipelines with observability of event processing from various sources using SPLUNK and GrafanaTransformed product specifications into big data ETL applications (Scala/Spark, Python/Flask)Configured Ansible playbooks and set up Docker containerization to set up application deployments on international servers per clients’ requirements

• Designed protobuf schema to store data based on product specifications• Supported CI/CD pipeline deployment to UAT/Prod environments (Jenkins, GitLab, Docker) • Developed and tested applications which processed custom partitioned GeoJSON big data using Spark, Akka and Kafka frameworks (Scala, Python, Java)• Implemented web user interfaces and REST back end for an editing tool that allowed customer input on map data to be reflected in production catalogs (Node, JavaScript)• Helped define the architecture and strategy for a largescale data processing system• Collaborated in reverse engineering project requirements and creating story estimates• Built dashboards and created alerts to monitor and analyze pipeline processes (SPLUNK, Grafana)

• Created web application which allowed query of datastore protobuf data by converting it into JSON and using an Apache Drill console (Scala, Node)• Refactored and improved code coverage for legacy projects (Scala, Java)• Maintained databases for products based on requirements (SQL)• Applied machine learning algorithms in order to create validation methods for recognizing invalid data• Incorporated Akka Streams into projects resulting in significant performance improvements