Mykola Demianchuk

Mykola Demianchuk

Dev Ops Engineer @ CCC Intelligent Solutions

About Mykola Demianchuk

Mykola Demianchuk is a DevOps Engineer currently working at CCC Intelligent Solutions in Chicago, Illinois, where he has been employed since 2020. He has a background in software engineering and has previously held positions at Loyola University Chicago and BMW Technology Corporation.

Current Role at CCC Intelligent Solutions

Mykola Demianchuk serves as a DevOps Engineer at CCC Intelligent Solutions, a position he has held since 2020. In this role, he focuses on optimizing development operations and enhancing deployment processes. His responsibilities include creating CI/CD pipelines that facilitate static code analysis, testing, image builds, and deployments. He adheres to GitOps and Infrastructure as Code practices, ensuring efficient and reliable software delivery.

Previous Experience at Loyola University Chicago

Prior to his current role, Mykola worked as a Graduate Teaching Assistant at Loyola University Chicago from 2019 to 2020. During this one-year tenure in Chicago, Illinois, he supported faculty in delivering course content and assisted students in understanding complex topics in software engineering and computer science.

Experience at BMW Technology Corporation

Mykola briefly worked as a Software Engineer at BMW Technology Corporation in 2019 for a duration of two months. His role involved contributing to software development projects, enhancing his skills in programming and software engineering practices.

Educational Background in Software Engineering

Mykola earned his Bachelor's degree in Software Engineering from Ternopil State 'Ivan Pul'uj' Technical University, where he studied from 2012 to 2018. He furthered his education by obtaining a Master of Science in Computer Science from Loyola University Chicago, completing his studies from 2018 to 2020.

Technical Skills and Projects

Mykola has developed significant technical skills in building and optimizing data processing systems. He created a batch data pipeline that processes over 400 files daily using various AWS services, including S3, SQS, and Lambda. Additionally, he refactored monolithic applications into microservices and developed a GPU booking system utilizing Python and Kubernetes, showcasing his expertise in modern software architecture.

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