Slave Tasev
About Slave Tasev
Slave Tasev is a Senior Data Engineer at Endava with expertise in ETL processes, data analysis, and database performance tuning.
Current Role at Endava
Since January 1, 2022, Slave Tasev has been serving as a Senior Data Engineer at Endava. In this position, he is responsible for the management and maintenance of the PricePoint powerful pricing B2B application. His work includes handling application management, solving technical problems, testing, and troubleshooting bugs. Furthermore, his role focuses on enhancing ETL processes and conducting data analysis to ensure optimal performance.
Past Experience in Data Engineering
Slave Tasev has extensive experience in the field of data engineering. He worked as a Data Engineer at Seavus from 2020 to 2021. Prior to that, he was the Head of Software Development and Maintenance Department at Sparkasse Bank Makedonija from 2012 to 2020. His early career included a position as a Software Developer at EuroNetCom from 2008 to 2012.
Educational Background in Computer Science
Slave Tasev holds a degree in Computer Sciences and Technologies from See University, where he studied from 2003 to 2008. Before that, he attended DSU Orce Nikolov from 1999 to 2003. His educational background has laid a strong foundation for his expertise in various areas of software development and data engineering.
Specialized Skills and Expertise
With a focus on ETL processes and data analysis, Slave Tasev excels in performance tuning and monitoring of database systems. He is adept at managing and maintaining applications, including solving technical problems, testing, and troubleshooting issues. His technical skills have been instrumental in his contributions to various projects and positions throughout his career.
Achievements at Microsoft Fabric Global AI Hackathon
Slave Tasev participated in the Microsoft Fabric Global AI Hackathon, where he won the Grand Prize with his team, PIInovators. They developed a cloud-native data solution that integrates Open AI for document analysis, classifying documents into compliant and non-compliant categories. The project utilized a medallion architecture for data storage in Microsoft Fabric Lakehouse and prepared data for analytical use in Power BI reports. Slave Tasev has commented on the exceptional team spirit and new experiences gained during the hackathon.