Data Engineer | Python, SQL, AWS & Airflow | ETL Pipelines & Automation

Data Engineer with a BSc in Mathematics and experience building production data pipelines, Python automation tools and cloud-based systems.

At Vueling, I designed and maintained ETL pipelines integrating Oracle and PostgreSQL data into AWS S3 and Amazon Redshift. I orchestrated batch workflows with Apache Airflow, optimized Redshift queries and loading processes, and handled monitoring, traceability and production issues alongside technical and business teams.

At BMAT Music Innovators, I developed internal Python tools and Flask APIs, worked with Docker and Kubernetes, maintained AWS components including Lambda, and investigated production incidents.

I also develop an independent systematic trading project for US equities, covering API-based data ingestion, PostgreSQL and S3 storage, scheduled Lambda jobs, backtesting, risk modelling and automated execution through the Interactive Brokers API. The system includes services deployed on EC2 and a Streamlit interface.

Services: ETL pipeline development and maintenance, API integrations, Python automation, SQL query optimization, workflow orchestration and AWS data infrastructure.

Core technologies: Python, SQL, Apache Airflow, PostgreSQL, Oracle, Amazon Redshift, AWS S3, Lambda, EC2, RDS, Docker, Git and Linux.

Based in Barcelona, Spain. Interested in remote freelance projects. Spanish and Catalan: native. English: professional working proficiency (B2).