Developed scalable data processing pipelines that handle over 100M detailed cloud billing records daily. These
pipelines perform cost analysis and generate cost saving opportunities recommendations on a cloud-agnostic
data model.
Reduced daily and on-demand processing time by 31x, from over 1 hour to under 10 minutes– allowing customers to take action on reports more rapidly.
As a frontline on-call engineer: handled all aspects of production incidents– discovery, mitigation, root-cause analysis, resolution, testing, and public statement issuance.
As a technical leader: created detailed technical design documents, estimates, plans, and broke down user stories
into developer tasks.
Collaborated across teams to develop API contracts and construct views for data presentation.
Produced observable service deployments through logging, metrics, and tracing– improving the effectiveness of
on-call engineers during incident management.
Maintained robust custom build and deployment systems in Jenkins and Gitlab CI/CD for more than 20 repositories, including containerized Java and Golang microservices, Maven and Gradle artifacts, AWS Lambda functions, and large scale Terraform deployments.
