Alexander Freickmann
About Alexander Freickmann
Alexander Freickmann is a Data Architect currently working at Vestiaire Collective in Berlin, Germany. He has extensive experience in data management and engineering, having held various leadership roles at companies such as Rocket Internet GmbH, CXA Group, and Lazada.
Work at Vestiaire Collective
Alexander Freickmann has been serving as a Data Architect at Vestiaire Collective since 2021. In this role, he is responsible for the architecture of a 100TB Snowflake Enterprise Data Warehouse, focusing on cost and time efficiency as well as implementing cost control measures. His work includes developing a GDPR-compliant user-based role system in Snowflake with proper audit control, ensuring compliance with data protection regulations.
Previous Experience at Rocket Internet GmbH
Freickmann worked at Rocket Internet GmbH in various capacities. He began as a Data Warehouse Developer from 2011 to 2012, followed by a role as Senior Data Warehouse Developer from 2012 to 2014. His experience at Rocket Internet GmbH provided him with foundational skills in data warehousing and development.
Experience at Lazada
At Lazada, Freickmann held multiple positions, including Vice President of Data Engineering from 2018 to 2019 and Head of Data Warehouse, Regional from 2015 to 2017. He also worked as a Data Warehouse Consultant from 2014 to 2015. During his tenure, he developed a script for Tableau license hot seating, optimizing license usage, and established a new company Data Platform based on a Spark Data Lakehouse.
Education and Expertise
Freickmann studied Information Systems at Universität Osnabrück, where he earned a Bachelor of Science (B.Sc.) from 2005 to 2009 and a Master of Science (M.Sc.) from 2008 to 2010. Additionally, he studied Information Systems at the University of South Florida for 11 months in 2007. His educational background has equipped him with a strong foundation in data architecture and engineering.
Achievements in Data Management
Freickmann has implemented several significant projects in data management. He created a script to analyze data in the Data Warehouse for potential personal sensitive data, ensuring GDPR pipeline effectiveness. He also established a Data Mesh infrastructure, enabling users to independently build data models, which reflects his commitment to advancing data accessibility and compliance.