Fredrik Bakken

Data Engineer

Trondheim, Trøndelag, Norway
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Summary

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Rockstar
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Top School
Fredrik Bakken is a data engineer with 11 years of experience building production-grade big data and ETL systems across telecom, finance, and research organizations. He has led Hadoop, Kafka and Azure-based data platforms, implemented Airflow orchestration and Terraform-driven DevOps, and integrated open-source tools like OptaPlanner into core architectures. Comfortable coding in Scala, Go and Python, Fredrik blends hands-on engineering with cross-functional leadership—from prototyping microservices to delivering analytics for fraud, billing and customer teams. Early research roles gave him practical ML experience (top-12% Kaggle solution combining neural nets and XGBoost), a detail that still informs his pragmatic approach to model deployment. Based in Trondheim, he currently contributes data engineering expertise at Norges Bank and SynPlan, combining strong system design with a track record of shipping reliable, scalable pipelines.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Engineering (B.Eng.), Computer Engineering, Bachelor, Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor at Narvik University College (HiN)
bookCertificate of Completion, Data Engineering, Certificate of Completion, Data Engineering at Udacity
bookThird year student, Studies with science, Third year student, Studies with science at Malvik Videregående Skole
bookNorwegian University of Science and Technology
languagesNorwegian, English
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Stackoverflow

Stats
3reputation
5kreached
0answers
2questions
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Github Skills (193)

data-stream10
apache-spark10
operation10
python10
windows10
blob-storage10
metadata10
openstack-swift10
security10
aws-s310
orchestration10
flask10
qemu10
data-engineering10
spring-mvc10

Programming languages (14)

MDXJavaCObjective-C++MakefileGoJupyter NotebookTypeScript

Github contributions (5)

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:iphone: :email: Demonstration project to showcase how big data and deep learning can be used to filter a stream of messages as either spam or not-spam messages.
Contributions:47 commits, 1 PR, 24 pushes in 1 year
streaming-applicationiphonedeep-learningspamemail
Contributions:8 commits, 7 pushes, 1 branch in 1 day
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Fredrik Bakken - Data Engineer