Ivan Boyaryn  🇺🇦

Ivan Boyaryn 🇺🇦

Senior Big Data Engineer @ Ciklum

About Ivan Boyaryn 🇺🇦

Ivan Boyaryn is a Senior Big Data Engineer at Ciklum, where he has worked since 2019. He has a strong background in mathematics and extensive experience in software engineering and data science across various companies in Lviv.

Current Role at Ciklum

Ivan Boyaryn currently serves as a Senior Big Data Engineer at Ciklum, a position he has held since 2019. In this role, he conducts technical interviews and internal technical assessments of colleagues, ensuring a high standard of technical proficiency within the team. He also provides consultancy services for other teams within the organization and participates in pre-sale activities as a technical expert, contributing to the company's growth and client engagement.

Previous Work Experience

Before joining Ciklum, Ivan Boyaryn held several positions in various companies. He worked as a Senior Fullstack Engineer at Svitla Systems, Inc. from 2017 to 2019, and as a Data Scientist and Software Engineer at DecisionMapper for four months in 2017. Additionally, he served as a Java Tech Lead at V.I.Tech for two months in 2017, and as a Senior Java Engineer and Research Mathematician at Edvantis from 2014 to 2015. He also had a brief tenure as a Java Developer at SoftBistro in 2014.

Educational Background

Ivan Boyaryn studied Mathematics at Ivan Franko National University of Lviv, where he earned his Master's degree. His academic journey spanned from 1999 to 2004, followed by an additional three years of study in Mathematics from 2004 to 2007. This educational foundation has equipped him with the analytical skills necessary for his roles in data engineering and software development.

Technical Skills and Expertise

Ivan Boyaryn possesses extensive experience with cloud platforms, specifically AWS and Azure. His technical expertise includes working with a technology stack that features Akka Streams and Airflow. His background in mathematics and software engineering allows him to approach complex data challenges effectively, contributing to his success in the field of big data.

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