Sobre mí

Jesús Daza García

Soy Ingeniero DevOps & Cloud con una sólida base en infraestructura, automatización e ingeniería de software. Combino experiencia técnica avanzada en toolchains DevOps modernos con una mentalidad científica fruto de mis estudios en Biotecnología y Bioinformática en la UPM.

Actualmente en BASF Digital Hub Madrid, lidero proyectos de infraestructura en Azure, desarrollo providers de Terraform en Go, construyo frameworks de automatización en Python e integro herramientas de IA en flujos de trabajo de ingeniería. Cuento con múltiples certificaciones Azure.

Disfruto trabajando en equipos de alto rendimiento y me apasiona aprovechar la tecnología — incluyendo IA y LLMs — para resolver retos complejos de infraestructura a escala.

Tecnologías

Microsoft AzureTerraformCDKTFKubernetesDockerPythonGoAnsibleCI/CDGitHub ActionsAzure DevOpsDatabricksDatadogGCPPydanticSQLLinux

Trayectoria

jul. 2021 – present

System Engineer / DevOps

BASF Digital Hub Madrid

  • Technical leadership of cloud infrastructure and automation projects on Azure
  • Custom Terraform provider development in Go for internal platform requirements
  • Python automation frameworks: testing, tooling, data pipelines
  • Databricks data platform management and collaboration with Big Data teams
  • AI and LLM integration into daily engineering workflows
  • Driving IaC best practices and governance across the organisation

mar. 2021 – jul. 2021

Ansible & Automation Cloud Specialist

IBM

  • Automated IT infrastructure tasks using Ansible Tower, roles and playbooks
  • Python automation scripts for infrastructure management
  • Terraform proposals and Azure / Kubernetes migration plans

ago. 2020 – mar. 2021

Infrastructure as Code Associate Engineer

Roche

  • IaC with Terraform, Ansible, Kubernetes and Docker
  • CI/CD with Jenkins, GitLab/Bitbucket, AWX on GCP
  • Cross-functional Agile collaboration

sept. 2019 – jul. 2020

Infrastructure as Code Intern

Roche

  • Built Linux/CentOS infrastructure with Prometheus monitoring via Docker & Kubernetes
  • First exposure to enterprise DevOps: Ansible, Terraform, Jenkins, AWS
  • Developed strong foundations in software engineering best practices

jul. 2019 – ago. 2019

Data Analyst

Banco Santander

  • SQL data extraction (PostgreSQL) and interaction network analysis
  • Python data processing with NumPy and Pandas

ene. 2019 – jul. 2019

Junior Research Assistant

CNB-CSIC

  • Bioinformatics and statistical analysis for genomics research
  • Python, R, SQL and cloud computing (Galaxy platform)

dic. 2017 – ene. 2019

Trainee — AI & Systems Biology Dept.

Universidad Politécnica de Madrid

  • Computational model for gene expression (systems biology)
  • Presented research at international congress in Heidelberg, Germany

2013 – 2018

BSc Biotechnology — Bioinformatics specialisation

Universidad Politécnica de Madrid (UPM)

  • Specialised in the computational branch of Biotechnology (Bioinformatics)
  • Programming fundamentals: Python, R; first contact with cloud computing and big data
  • Sparked passion for software engineering and data-driven solutions