Vasili Korzun
About Vasili Korzun
Vasili Korzun is a Data Architect with extensive experience in cloud-based data architecture, currently working at Exadel since 2021. He has a background in software engineering and data engineering, having held various positions at EPAM Systems and Exadel over several years.
Current Role at Exadel
Vasili Korzun currently serves as a Data Architect at Exadel, a position he has held since 2021. In this role, he focuses on designing and implementing data architecture solutions that leverage cloud technologies. His expertise includes building Enterprise Data Warehouses using Azure Cloud services, which enhances data accessibility and analysis for organizations.
Previous Experience at Exadel
Prior to his current role, Vasili Korzun worked at Exadel as a Senior Data Engineer from 2020 to 2021 and as a Senior Data Engineer from 2019 to 2020. During these positions, he contributed to various data engineering projects, utilizing his skills in cloud-based data architecture to optimize data management processes.
Experience at EPAM Systems
Vasili Korzun has a significant history with EPAM Systems, where he worked in various capacities from 2013 to 2019. He began as a Junior Software Engineer, then progressed to Software Engineer, and later to Senior Software Engineer. His tenure at EPAM Systems provided him with a solid foundation in software development and engineering practices.
Education and Expertise
Vasili Korzun earned a Master's degree in Computer Security from Belarussian State University, specifically from the Faculty of Radiophysics and Computer Technologies. His academic background, combined with extensive experience in data architecture, positions him as a knowledgeable professional in the field of data management and security.
Specialization in Cloud-Based Data Architecture
Vasili Korzun specializes in cloud-based data architecture, focusing on the design and implementation of Enterprise Data Warehouses. His proficiency in utilizing Azure Cloud services allows organizations to effectively manage and analyze large volumes of data, contributing to improved decision-making processes.