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Lisa Rønne-Kofoed

Team Lead | Cloud Engineer at Region Hovedstaden

Lisa Rønne-Kofoed has a diverse work experience spanning several industries. Lisa began their career as an Art Director at Aller International A/S from 1992 to 2004. Lisa then worked as a Receptionist at SATS from 2002 to 2007. From 2006 to 2007, they worked as a Researcher at Penge & Privatøkonomi. Lisa then worked as a Student Assistant at Statistics Denmark from 2007 to 2008. Following this, they joined Danmarks Nationalbank as a Student Assistant from 2008 to 2010 and Economist from 2010 to 2016.

In 2016, Lisa transitioned to a new domain, Data Analytics and Engineering, at Koncernservice. Here, they held two roles, starting as a Data Analyst and Project Manager from 2016 to 2018. After that, they became a Special Advisor from 2018 to 2019, leading the data track in the implementation of ServiceNow and acting as a business partner for the largest center in Koncernservice.

In 2019, Lisa joined Alm. Brand as a Product Owner and Data Engineer, where they managed the establishment of an Enterprise data platform in MS Azure until 2021. Lisa then moved to EY as a Senior Manager in Data & Analytics from 2021 to 2022, leading the Data Engineering & Architecture domain and supporting clients in their data-related agendas.

Currently, Lisa is working as a Team Lead and Cloud Engineer at Region Hovedstaden, starting in 2022.

Lisa Rønne-Kofoed has a diverse education history. In 1992 to 1995, they pursued an Art Director course focusing on Magazine Layout. Later, from 2002 to 2004, they completed their Secondary Education at Efterslægten HF. In 2003 to 2004, Lisa took a Single Course in Business Economics at Niels Brock. Following this, from 2004 to 2010, they obtained a Master's degree in Economy from the University of Copenhagen. In 2016, Lisa completed the Project Manager course at Projektlederuddannelsen, økonomiforvaltningen. Lisa'smost recent educational achievement in 2020 saw their graduating from Copenhagen Business School with an HD1 degree in Data Analytics with Python. Additionally, Lisa has obtained several certifications, including being a Certified SAFe® 5 Agilist and a Microsoft Certified Azure Data Engineer Associate.

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