• Optimized a Go application to increase consumption rate from Kafka by 340%, costing half the engineering effort of the proposed rewrite.

• Devised a MongoDB live indexing strategy, which supported both current and future use cases, and saved the computing and filling of a new 99% unused native database index.

• Spearheaded AWS asset replication tooling, sparing 9 teams from duplicating work relocating up to 7 AWS technologies each.

• Mentored 2 intern, 2 new grad, and 4 mid-level engineers on operational tools, best practices for maintainable software, and career development.

• Founded the in-house standard system to continuously verify 16 teams' compliance with disaster recovery requirements.

• Created automated release test suites for 11 services, which catches 10 would-be customer facing bugs per month on average.

• Scripted no-downtime database reconfiguration, which was leveraged by 3 teams to update 168 instances.

• Automated infrastructure patching for 30 microservices and 25 database clusters by creating a modular and testable Bash script framework.

• Administered on-call training, including 6 chaos tests gamedays across 5 systems.

• Created custom Python tooling to create, increment, restore, and check for MongoDB database backups for standalone, replicated, and sharded deployments without customer impact, and has been the in-house standard for 21 teams for 4 years.

• Decreased backend service's annual outages by 91% and reduced hardware costs by 40% by selecting, training owners on, and migrating without downtime to a different datastore.