Description

With over 8 years of experience in data engineering, I specialize in designing and deploying robust data architectures across cloud and on-premise environments. My recent work focuses on advanced orchestration using Apache Airflow (including custom plugins and views), cloud infrastructure automation with Kubernetes, Terraform, and Ansible, and efficient ETL development with PySpark.

I’ve led the migration of legacy systems to scalable big data solutions, designed complex pipelines for real-time and batch processing, and supported marketing, banking, and telco domains with high-impact data workflows.

Skilled in:

Cloud platforms: GCP & Azure

Big Data & ETL: PySpark, SQL

Orchestration: Apache Airflow (custom & vanilla)

Infrastructure as Code: Terraform, Ansible

Containerization & deployment: Kubernetes

I'm passionate about building scalable, maintainable, and cost-efficient data solutions tailored to business needs.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Madrid (up to 50km)

Telefónica
Data & Cloud Engineer
June 2022 - Today (4 years)
Madrid, Spain
- Development of plugins and new views in a customized version of Apache Airflow.

- Design, deployment, and administration of the entire required architecture in both GCP and Azure, using Kubernetes, Ansible, and Terraform for deployment automation.

- Development of DAGs for the orchestration of batch processes and event-based notifications
Kubernetes Microsoft Azure Google cloud Docker Cloud Administration
Pragsis Bidoop
Data engineer
December 2019 - June 2022 (2 years and 6 months)
- Migration of PL/SQL projects to PySpark.

- Development of ETL processes in PySpark for various banking projects.

- Segmentation of different target audiences for marketing campaigns.
Python ETL (Extract, Transform, Load) Processes Data Cleaning and Preprocessing
Telefónica
Desarrollador de Big Data
February 2018 - December 2019 (1 year and 10 months)
Development of ETL processes in a Big Data project using PySpark within an on-premise environment and Google Cloud Platform.
Python Google cloud ETL (Extract, Transform, Load) Processes Data Cleaning and Preprocessing Cloud Platforms and Infrastructure