Anton Stetsenko

Anton Stetsenko

Dwh And Etl Developer @ Raiffeisen Bank International

About Anton Stetsenko

Anton Stetsenko is a DWH and ETL Developer at Raiffeisen Bank International AG in Vienna, Austria, where he has worked since 2017. He holds a Master's degree from Kyiv National Economics University, which he attended from 2008 to 2013.

Work at Raiffeisen Bank International

Anton Stetsenko has been employed at Raiffeisen Bank International AG since 2017. He holds the position of DWH and ETL Developer, contributing to data warehousing and extract, transform, load (ETL) processes. His role involves working with data integration and management systems to support the bank's data analytics and reporting needs. Stetsenko operates from Vienna, Austria, where he has developed expertise in handling large datasets and optimizing data workflows.

Education and Expertise

Anton Stetsenko earned a Master's degree from Kyiv National Economics University, where he studied from 2008 to 2013. This academic background provided him with a solid foundation in economics and data analysis. His education has been instrumental in his career as a DWH and ETL Developer, equipping him with the necessary skills to manage complex data systems and contribute effectively to his current role.

Background

Anton Stetsenko has a background in economics, supported by his education at Kyiv National Economics University. His transition into the field of data warehousing and ETL development reflects a commitment to leveraging data for business insights. Since moving to Vienna, Austria, he has integrated his academic knowledge with practical experience in the banking sector.

Professional Experience

With over seven years of experience in his current role at Raiffeisen Bank International, Anton Stetsenko has developed a strong proficiency in data management and analytics. His responsibilities include designing and implementing data solutions that enhance the bank's operational efficiency. His ongoing work in this area demonstrates his capability in managing data-driven projects within the financial services industry.

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