Michael Dietz
Data Engineer
Hvidovre, Capital Region of Denmark, Denmark
Summary
👤
Senior🎓
Top SchoolMichael Dietz is a Data Engineer with 10 years of hands-on experience designing and implementing cloud-based data warehouses, specializing in Snowflake and SQL. He has built production analytics platforms across Danish enterprises, moving from long-term roles in transportation and payments to current positions in insurance and IT development. Comfortable translating finance and operations domain knowledge into reliable ETL and data modeling, he brings a pragmatic emphasis on auditability and performance. Based in Hvidovre, Denmark, he combines a master's-level economics background with deep practical expertise in enterprise data flows. Colleagues rely on him to bridge business requirements and technical delivery, especially where legacy systems meet modern cloud data stacks. Notably, his career shows a steady progression from consultancy to embedded engineering roles, reflecting both technical depth and stakeholder trust.
10 years of coding experience
Master's degree, Economics, Master's degree, Economics at Institute for Law and Finance (Goethe University Frankfurt)
danish german english
Github Skills (19)
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
neural-network10
signal-processing9
signal9
java9
ml9
kotlin9
deep-neural-networks9
maven9
javacv8
computer-vision8
Programming languages (2)
Github contributions (5)
hcmlab/multimediate-participants
Mar 2021 - Jul 2021
Contributions:19 commits, 17 pushes, 1 branch in 4 months
hcmlab/evalai-challenge-template
Feb 2023 - Jun 2024
How to create a challenge on EvalAI?
Contributions:3 pushes in 1 year 4 months
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