Hello Essent!
People, Planet, Profit and Power — helping Essent build modern data & AI capabilities for the energy transition.
Freelance Data Platform & MLOps Engineer — architecting scalable, cloud-native data & AI platforms on AWS, Databricks & Kubernetes.
I design and build modern data platforms that make it easy for data scientists and analysts to work: clean data, robust pipelines, reproducible experiments and push-button deployments of ML workloads.
With ~15 years of engineering experience, I combine software craftsmanship, data engineering and platform thinking to deliver solutions that still work in 3–5 years, not just next sprint.
Cloud-native first: infrastructure as code, containers and Kubernetes to create secure, scalable and repeatable environments across teams and regions.
My job is to make other people’s work easier. I mentor engineers and collaborate with data scientists and product teams so platforms actually get used and deliver value.
Design and implementation of secure, cost-efficient data lakes and lakehouses on AWS, Databricks and Snowflake — ready for analytics & ML.
CI/CD for models, experiment tracking, feature stores and serving patterns so ML can be deployed, monitored and iterated with confidence.
Batch & streaming pipelines, schema management, data quality and observability so stakeholders can trust the numbers they see.
From Git push to production: automated build, test and deployment pipelines for data & ML workloads.
Moving from legacy and on-prem into resilient, cloud-native architectures with clear guardrails, security and cost controls.
Improving developer experience, mentoring teams and setting up ways of working that help platforms and data products scale across the organisation.
People, Planet, Profit and Power — helping Essent build modern data & AI capabilities for the energy transition.
Fun and progress with every connection — supporting data & platform initiatives.
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86762222
+31 683 66 4710
datareaper@kpnmail.nl
Amsterdam, Netherlands