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Software engineer specialized in backend development, end-to-end analytics solutions, and system administration. Passionate about open-source software and infrastructure reliability, with extensive experience building scalable cloud services. Experienced in Google Cloud (Vertex, BigQuery, IAM, Pub/Sub, monitoring), automation with Terraform and GitHub Actions, and production-grade observability using MLFflow, Prometheus/Grafana, and Looker Studio. Strong background in ETL/data pipelines, Linux administration, and CI/CD best practices.…Software engineer specialized in backend development, end-to-end analytics solutions, and system administration. Passionate about open-source software and infrastructure reliability, with extensive experience building scalable cloud services. Experienced in Google Cloud (Vertex, BigQuery, IAM, Pub/Sub, monitoring), automation with Terraform and GitHub Actions, and production-grade observability using MLFflow, Prometheus/Grafana, and Looker Studio. Strong background in ETL/data pipelines, Linux administration, and CI/CD best practices.

Julio Sanz Rodriguez

Software Engineer, Data Engineer, DevOps Developer, +2

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Software engineer specialized in backend development, end-to-end analytics solutions, and system administration. Passionate about open-source software and infrastructure reliability, with extensive experience building scalable cloud services. Experienced in Google Cloud (Vertex, BigQuery, IAM, Pub/Sub, monitoring), automation with Terraform and GitHub Actions, and production-grade observability using MLFflow, Prometheus/Grafana, and Looker Studio. Strong background in ETL/data pipelines, Linux administration, and CI/CD best practices.…Software engineer specialized in backend development, end-to-end analytics solutions, and system administration. Passionate about open-source software and infrastructure reliability, with extensive experience building scalable cloud services. Experienced in Google Cloud (Vertex, BigQuery, IAM, Pub/Sub, monitoring), automation with Terraform and GitHub Actions, and production-grade observability using MLFflow, Prometheus/Grafana, and Looker Studio. Strong background in ETL/data pipelines, Linux administration, and CI/CD best practices.

Available to hire

Software engineer specialized in backend development, end-to-end analytics solutions, and system administration. Passionate about open-source software and infrastructure reliability, with extensive experience building scalable cloud services.

Experienced in Google Cloud (Vertex, BigQuery, IAM, Pub/Sub, monitoring), automation with Terraform and GitHub Actions, and production-grade observability using MLFflow, Prometheus/Grafana, and Looker Studio. Strong background in ETL/data pipelines, Linux administration, and CI/CD best practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

Work Experience

Data Engineer (Infrastructure and Platform-oriented) (promoted to Senior) at MasOrange

September 1, 2022 - Present

Built and optimized a Python-based Pub/Sub events-driven system serving 500+ users for three years, improving algorithmic efficiency and maintainability. Designed backend services for SaaS solutions using FastAPI, PostgreSQL, LiteLLM integration, and GKE (Google Kubernetes Engine) management. Set up monitoring for these services, including MLflow for AI processes and a self-hosted Grafana stack on GCP using Grafana Faro/Alloy for front-end/service monitoring. Developed and maintained advanced ETL SQL-based pipelines using Airflow. Implemented GitHub Actions pipelines to enforce CI/CD best practices and created Terraform scripts to follow Infrastructure-as-Code principles. Administered Debian/Ubuntu servers with security hardening, package management, and SSH security.

Data Engineer (Infrastructure & Platform-oriented) (promoted to Senior) at MasOrange

September 1, 2022 - Present

Construí y optimicé un servicio Python basado en eventos Pub/Sub para dar soporte a 500+ usuarios durante tres años, mejorando eficiencia algorítmica y mantenibilidad. Diseñé servicios backend para soluciones SaaS usando FastAPI, PostgreSQL y la integración de LiteLLM, además de administrar GKE (Google Kubernetes Engine). Implementé un entorno de monitorización para dichos servicios, incluyendo MLflow para procesos de IA y un stack self-hosted en GCP con Grafana (y componentes como Grafana Faro y Grafana Alloy). Desarrollé y mantuve ETL avanzado y pipelines basados en SQL con Airflow. Creé pipelines de GitHub Actions para asegurar buenas prácticas de CI/CD. Implementé infraestructura como código con Terraform y administré servidores Debian/Ubuntu reforzando seguridad y buenas prácticas.

Machine Learning Intern at Grupo MásMóvil | Politechnic University of Madrid

March 1, 2022 - June 30, 2022

Developed a machine learning algorithm to predict customer churn. Delivered the project as the final degree thesis with a score of 10 and was nominated for honors.

Machine Learning Intern (thesis project) at Grupo MásMóvil | Universidad Politécnica de Madrid (UPM)

March 1, 2022 - June 30, 2022

Proyecto de internship conjunto UPM y Grupo MásMóvil: desarrollé un algoritmo de Machine Learning para predecir el riesgo de churn. Entregué el proyecto como Trabajo Fin de Grado con calificación 10 y fui nominado a honores.

Systems Administration Intern (Data Center) at Politechnic University of Madrid

April 1, 2021 - July 31, 2021

Worked in the university data center performing maintenance and systems administration labor across campus labs. Included maintenance of Java and Python applications and analysis of anomalous behavior in Docker environments.

System Administration Intern (Data Center) at Universidad Politécnica de Madrid

April 1, 2021 - July 31, 2021

Prácticas en el centro de datos del campus universitario: mantenimiento y administración del laboratorio de sistemas, incluyendo mantenimiento de aplicaciones Java y Python, y análisis de comportamiento anómalo en entornos Docker.