A
Data platforms
Operating a production lakehouse foundation
Hands-on ownership of Kubernetes-based lakehouse services supporting governed, high-throughput analytics workloads.
Kubernetes
MinIO
Apache Spark
Apache Airflow
Senior Platform Engineer / Stockholm
I design and operate Kubernetes, data, and delivery platforms that stay reliable as teams and workloads scale.
Selected measures
Selected impact
My work sits where infrastructure, data, and developer experience meet. I turn operational constraints into platforms teams can trust.
A
Data platforms
Hands-on ownership of Kubernetes-based lakehouse services supporting governed, high-throughput analytics workloads.
Kubernetes
MinIO
Apache Spark
Apache Airflow
B
Developer platforms
Operated two Kubernetes clusters across Europe and North America, hosting more than 20 internal engineering services.
Platform engineering
Grafana
SLOs
C
Delivery modernization
Helped migrate CI workloads from Jenkins to Azure DevOps using templates and configuration as code, while improving feedback time and visibility.
CI/CD
Azure DevOps
Kafka
Working knowledge
Kubernetes, Rancher, VMware Tanzu, VKS, Linux, hybrid cloud, AWS, Azure, and GPU workloads.
Lakehouse infrastructure, Spark, Airflow, MinIO, Kafka, Ranger, ETL/ELT, and near-real-time processing.
Terraform, Ansible, Helm, Packer, CloudFormation, GitOps, and reproducible configuration.
Observability, metrics, SLIs, SLOs, Vault, RBAC, data governance, incident response, and on-call operations.
Experience
Telecommunications · Stockholm
Electronic Arts / DICE · Stockholm
Tobii · Stockholm
Enterprise technology and consulting · Sweden & India
Working principle
Good infrastructure makes the right path obvious, failure understandable, and recovery routine. I focus on the interfaces between code, tooling, and the people operating both.