I work on data-processing applications, backend services and production infrastructure, mainly in satellite ground-segment environments. My background combines software development with the operation and maintenance of the systems I build.
I have more than ten years of professional experience in software engineering, data processing and production operations. I currently work as a Data Processing Engineer in the EUMETSAT environment, supporting processing applications used by operational, scientific and flight-dynamics teams.
Before that, I worked on the Galileo Reference Centre, first in software and operations engineering and later as deputy operations manager. Earlier in my career I developed ground-segment software at GMV.
Most of my work is in Python and Linux, with PostgreSQL databases, containerised services, CI/CD and monitoring. I tend to work across the full lifecycle: implementation, deployment, troubleshooting, maintenance and improvement of production systems.
Develop and operate data-processing applications across multiple satellite missions. The work includes Python services, processing pipelines, PostgreSQL and Oracle, CI/CD, observability, storage management and investigation of production issues.
Developed operational software and supported the operation of Galileo reference systems. Later acted as deputy operations manager for a five-person team, covering deployments, incidents, operational procedures, reporting and service improvements.
Developed ground-segment software, including a production client/server service for discovering and transferring new filesystem data between constrained environments, with persistence, retry and fallback behaviour.
Development and production support of processing applications for multiple missions, including ingestion and processing workflows, database-backed services, orchestration, operational tooling and interfaces used by downstream systems.
Investigation of storage growth and database behaviour in large production deployments. Work has included retention changes, table maintenance, recovery, schema and storage analysis, and changes intended to reduce operational risk and manual intervention.
Build and maintenance of GitLab CI/CD workflows for Python and containerised services, covering tests, static analysis, packaging, container images, releases and deployment tooling.
Production troubleshooting using application logs, system metrics and database diagnostics. Monitoring work includes Prometheus, Grafana and Loki, together with service-level investigation on Linux hosts and containers.
Development of tools used by operations teams, including data transfer, reporting, filesystem and storage workflows, automation and failure-recovery mechanisms.
Languages and application development: Python, Bash, Django, SQL.
Data and databases: PostgreSQL, Oracle, Polars, data-processing pipelines and workflow orchestration.
Systems and delivery: Linux, Docker, Docker Compose, GitLab CI/CD, nginx, gunicorn.
Observability: Prometheus, Grafana, Loki and production diagnostics across applications, databases and operating systems.