• Lead a team of engineers to satisfy GDPR and SOX compliance across 5 different services

• Updated creator payout calculations for Twitch's DJ and Prime programs

• Mentored an intern - leading, outlining, reviewing work over one summer

• Supported efforts for collecting revenue metrics across all monetizing users for monitoring

• Improved data queryability, allowing engineers to quickly collect information across several datastores

Maintain several performance pipelines to catch regressions for product releases as soon as possible

• Revamp legacy Jenkins pipelines for better reusability and streamlined maintainability

• Automate pipelines to provide top level summaries and visual deep dives for product regressions

• Actively collaborating with internal customers for continued improvements to benchmark pipelines

Operations Engineering (OPSENG) team member

• Currently moving microservices to be orchestrated with Kubernetes on baremetal

• Maintain Chef cookbooks for internal customers

• Created microservices to register with new baremetal chef-clients (improved requests 40x)

• Created onboarding process for internal customers to conveniently generate Bitbucket projects and Jenkins Jobs associated with internal Workday Ruby Gems

Full-time internal rotation program on 3 different teams

Team 1:

• Created a Jetbrains MPS plugin to visualize class relationships and metadata

• Allows developers to easily preview project architecture in a configurable way

Team 2:

• Created a Spring microservice to handle configuration options for development environments

• Sped up startup time by a factor of 2

• Microservice used by over 2000 Workday application developers daily

Team 3:

• Created a proof of concept implementation with Chef Habitat for migrating from existing Chef stack

• Worked with EC2/S3

• Implemented a logging system for Workday’s internal plugins.

• Allows Workday devs and project managers to easily debug without ambiguity.

• Compared and prototyped different technologies (ELK, Postgrest, PostgreSQL,

SQLAlchemy) to determine which would be best integrated with existing stack.