Uglješa Mostarac
About Uglješa Mostarac
Uglješa Mostarac is a Data Analytics Solution Architect at Repsly in Zagreb, Croatia, with over a decade of experience in data warehousing and consulting. He holds a Master of Science in Electrical Engineering and Information Technology from the University of Zagreb and has worked with various companies in roles focused on database management and analytics.
Work at Repsly
Uglješa Mostarac has served as a Data Analytics Solution Architect at Repsly since 2020. In this role, he focuses on developing data-driven solutions to enhance business intelligence and analytics capabilities. His work involves leveraging his expertise in data analytics to support organizational goals and improve decision-making processes. Repsly, based in Zagreb, Croatia, benefits from his extensive experience in the field.
Previous Experience in Data Warehousing
Prior to his current role, Uglješa Mostarac worked at NEOS for a total of eight years, first as a DWH/BI Consultant from 2012 to 2017, and then as a Senior DWH/BI Consultant from 2017 to 2020. His responsibilities included designing and implementing data warehousing solutions, which contributed to the company's data management strategies. Before NEOS, he worked at Infodom as an Oracle DBA & Developer from 2008 to 2012, where he gained foundational experience in database management.
Educational Background
Uglješa Mostarac studied at the Faculty of Electrical Engineering and Computing, University of Zagreb, where he focused on Telecommunications and Informatics. He earned a Master of Science in Electrical Engineering and Information Technology, completing his studies from 2001 to 2008. This academic background provided him with a strong foundation in technical and analytical skills relevant to his career in data analytics.
Expertise in Data Analytics and Database Management
Uglješa Mostarac possesses expertise in several key areas, including Oracle Database, Requirements Analysis, Application Architecture, Data Migration, and Extract, Transform, Load (ETL) processes. His strong background in the computer software industry, particularly in data warehousing and PL/SQL consulting, enables him to effectively address complex data challenges and implement robust data solutions.