Matt Adorjan

Platform Engineering (Cloud & DevOps) Manager

Warsaw, Masovian Voivodeship, Poland
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Summary

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Senior
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Top School
Matt Adorjan is a cloud and platform engineering leader with nine years of hands-on experience designing and operationalizing AWS and Azure environments for enterprises, currently driving cloud adoption and architecture at Balyasny Asset Management. He builds scalable, cost-conscious platforms—having created a firm-wide Kubernetes service, multi-region network footprints, and automated governance to reduce manual toil—while leading and mentoring a team of cloud engineers. His background spans Big 4 consulting to in-house roles at McDonald’s and US Foods, giving him deep experience in migrations, analytics pipelines, and DevOps transformation. An active contributor to open-source cost-monitoring work (enhancing AWS PV pricing support in OpenCost), he combines practical engineering with evangelism and developer enablement. Based in Warsaw with a MIS degree, he pairs a data-driven, security-minded approach with hobbies in photography and continual learning that inform a pragmatic, user-focused engineering style.
code9 years of coding experience
job7 years of employment as a software developer
bookBA, Management Information Systems, Computer Science, Economics, BA, Management Information Systems, Computer Science, Economics at North Central College
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Stackoverflow

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Github Skills (9)

kubernetes10
aws-glue10
go10
cost-optimization10
aws10
fins10
kubernetes-pods10
regex9
sql8

Programming languages (7)

PowerShellC#CSSJavaScriptGoRubyPython

Github contributions (5)

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opencost/opencost

May 2019 - Jun 2019

Cost monitoring for Kubernetes workloads and cloud costs
Role in this project:
userBackend Engineer
Contributions:7 commits, 2 PRs, 3 comments in 24 days
Contributions summary:Matt focused on enhancing AWS cost monitoring capabilities within the OpenCost project. Their primary contributions involved implementing features to retrieve and process persistent volume (PV) pricing data from AWS, including modifications to handle different EBS volume types. The user also developed a function to format strings for compatibility with AWS Glue column names and adjusted logging levels. These changes directly support the project's goal of monitoring Kubernetes workload costs in the cloud environment.
gcpcost-optimizationfinopskubecostcost-allocation
mda590/cloudping.co

Dec 2016 - Jul 2020

AWS Inter-Region Latency Monitoring
Contributions:10 commits, 7 PRs, 30 pushes in 3 years 6 months
latencyregioninterawsmonitoring
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Matt Adorjan - Platform Engineering (Cloud & DevOps) Manager