Adedamola Shomoye
Software Engineer at Benchling
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolAdedamola Shomoye is a Full Stack Software Engineer with 11 years of experience building impactful products across startups and enterprise teams in the Bay Area. Currently at Benchling and formerly at Splunk, Capital One, and Gem, he blends backend systems work in Go and Python with front-end and tooling experience to deliver reliable services at scale. He contributes to high-profile open-source observability tooling, enhancing the OpenTelemetry collector’s Kafka exporter to handle metrics as well as traces and laying the groundwork for a Kafka consumer-lag receiver. Comfortable across languages and layers, he focuses on pragmatic engineering: robust unit testing, integration validation, and production-ready design. Based in Oakland, he pairs a Computer Engineering degree with an electromechanical background, giving him a practical systems perspective that informs both software and operational decisions. Colleagues describe him as a detail-oriented developer who brings measurable improvements to telemetry and backend reliability.
11 years of coding experience
6 years of employment as a software developer
Associate's degree, Electromechanical Engineering, Associate's degree, Electromechanical Engineering at CUNY New York City College of TechnologyBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at The City College of New York
English, Yoruba
Github Skills (5)
unit-testing10
opentelemetry10
kafka10
go10
test-automation8
Programming languages (6)
Github contributions (5)
open-telemetry/opentelemetry-collector-contrib
Mar 2021 - Apr 2021
Contrib repository for the OpenTelemetry Collector
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:14 reviews, 7 commits, 7 PRs in 1 month
Contributions summary:Adedamola primarily focused on enhancing the Kafka exporter within the OpenTelemetry Collector Contrib repository. They added support for metrics alongside traces, enabling the exporter to handle both data types. Their work included writing unit tests with a high package coverage, and validating the integration via a demo setup. Additionally, the user introduced and implemented the initial structure of the kafkametricsreceiver component, adding the factory, config, and the foundation for a receiver designed to report metrics about Kafka consumer group lag.
contribopentelemetry-collectortracingtempoobservability
dshomoye/database-dabi
Jun 2017 - Apr 2019
Contributions:2 PRs, 35 pushes, 12 branches in 1 year 10 months
railwaypythondatabase-designflaskflask-web
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