L. Houpert / Email / Website / LinkedIn / GitLab / GitHub / Gist / Stackoverflow / Google Scholar

💻 Cloud Engineer building geospatial data infrastructure for Earth observation 🛰️

🚀 What I do:

• Build cloud-native platforms and data pipelines on Kubernetes for processing massive satellite imagery datasets
• Design scalable infrastructure for Earth observation systems at ESA and EUMETSAT
• Work with cloud-optimized geospatial formats (STAC, Zarr)
• Contribute to open-source geospatial tools and communities
• Focus on infrastructure-as-code and container orchestration

🔧 My tech stack:

• Cloud & Infrastructure: AWS (ECS, Lambda, S3, VPC), Kubernetes, Terraform, AWS CDK, Docker
• Geospatial (learning in progress 😅): STAC, Zarr
• Languages: Python (Flask, Django, PyTest, Xarray), TypeScript, Shell scripting
• DevOps: GitLab CI/CD, GitHub Actions, automated security scanning

🌱 Currently learning: Zarr ecosystem, Kubernetes in production, and geospatial data engineering patterns for planetary-scale datasets

🧑‍🔬 Previous life: 10+ years as marine physicist and research scientist working with large-scale oceanographic datasets. I developed Python libraries to process data from ocean robots 🤖, research ships 🚢, and satellites 🛰️. Published 30+ scientific papers and spent 200+ days at sea 🌊. This background in scientific data processing translates directly to building infrastructure for Earth observation systems.

🏠 When not coding: Maintaining my homelab (Nextcloud, Jellyfin, Pi-hole, Traefik) and exploring Europe in our campervan 🚐

• 🛰️ Earth observation infrastructure: Building cloud platforms for processing satellite imagery at scale
• 🗺️ Geospatial data engineering: STAC catalogs, Zarr arrays, and cloud-optimized formats
• ☸️ Container orchestration: Kubernetes, ECS Fargate, and scalable deployments
• 🔒 Cloud-native security: Infrastructure-as-code and automated security practices
• 🌐 Open source: Contributing to geospatial tools and Earth observation communities
• 📝 Knowledge sharing: Writing about geospatial data engineering and cloud infrastructure