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.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor, Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor at Narvik University College (HiN)
Certificate of Completion, Data Engineering, Certificate of Completion, Data Engineering at Udacity
Third year student, Studies with science, Third year student, Studies with science at Malvik Videregående Skole
: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
Contributions:8 commits, 7 pushes, 1 branch in 1 day
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