At APMoller Maersk Global Service Centres, I worked across data platform engineering, DevOps, and SRE for logistics workloads. I co-developed an AI-powered IncidentAnalyser with Python, Grafana plugins, and Azure OpenAI, reducing MTTD by 60% and MTTR by 45%.
On the Athena Ocean Pricing Team, I led the migration from Datadog to an open-source Grafana observability stack, saving 30% in costs. I also consolidated GitHub Actions workflows across engineering teams, reducing maintenance overhead by 80%.
For the APEX Enterprise Data Platform, I managed and supported a high-availability platform handling 2TB+ datasets. I built monitoring for Dremio jobs and Apache Superset cache performance, and deployed dbt transformation pipelines that accelerated analytics workflows by 3x.
Across my work at Maersk, I have automated multi-region infrastructure with Terraform and managed Kubernetes environments on AKS. I’ve also conducted chaos engineering experiments, written operational runbooks, and mentored junior engineers.
