Adam Ujvari
About Adam Ujvari
Adam Ujvari is a Data Engineer with expertise in Python programming and big data processing. He currently works at Raiffeisen Bank International AG and has a background in data engineering from previous roles at Wirecard and Fifteen Seconds GmbH.
Work at Raiffeisen Bank International
Adam Ujvari has been employed as a Data Engineer at Raiffeisen Bank International AG since 2020. His role involves utilizing his expertise in data engineering to support the bank's data infrastructure and analytics capabilities. He works in Vienna, Austria, where he contributes to the development and maintenance of data pipelines and systems that facilitate data-driven decision-making within the organization.
Previous Experience as Data Engineer
Prior to his current position, Adam Ujvari worked at Wirecard as a Data Engineer from 2019 to 2020. In this role, he focused on data processing and analytics, leveraging his skills to enhance the company's data management practices. He also briefly worked as a Web Developer at Fifteen Seconds GmbH in 2017 for one month, where he gained experience in web technologies.
Education and Expertise
Adam Ujvari earned a Bachelor's degree in Computer Science from Technische Universität Graz, where he studied from 2013 to 2018. His educational background includes a high school diploma from Österreichische Schule Budapest and a Higher School Certificate from Österreichische-Ungarische Europaschule. He possesses proficiency in Python programming, Apache Spark for big data processing, and Terraform for infrastructure management. His expertise also includes large-scale real-time data processing using Amazon Web Services.
Technical Skills and Tools
Adam Ujvari specializes in data engineering and employs various tools to optimize data workflows. He utilizes Apache Airflow for orchestrating complex data workflows, ensuring efficient execution of data pipelines. His proficiency in Terraform allows him to manage and provision cloud resources effectively, contributing to the overall efficiency of data operations.