Description

Machine Learning Engineer skilled in building scalable, end-to-end pipelines

With expertise in both SQL and NoSQL database design, I develop robust batch and real-time data and machine learning pipelines. Certified in AWS and Azure, I’m proficient across cloud platforms and experienced with Python, Rust and C++. I also excel in machine learning and distributed computing frameworks like Torch, CuDA, MPi

Finally, I also have familiarity with container technologies (Docker and Kubernetes) for containerization and orchestration of complex applications. My technical backgorund also includes proficiency in the Linux OS, especially on Debian

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Mscope
Data Engineer
DIGITAL AND IT
August 2024 - Today (1 year and 9 months)
Madrid, Spain
Design and implementation of automated data quality checks. Development of lambda functions to integrate database monitorization with aws services. ER Modelling and ETL processes design and implementation.
Amazon Web Services Python SQL SQL Server PostgreSQL Docker Apache Spark
Centro de Domótica Integral de la Universidad Politécnica
Data Engineer
DIGITAL AND IT
November 2023 - August 2024 (8 months)
Madrid, Spain
I looked after the data extraction, processing, modelling, storage and exploitation with machine learning models of data coming from motion capture sensors.
Machine learning Python Sensors ETL Amazon Web Services Docker
Fundación para la investigación biomedica del hospital universitario la paz
Data Engineer
BIOTECH
June 2021 - July 2022 (1 year and 1 month)
Madrid, Spain
Developed a storage system for the Fundación to allow medical specialists oversee the rehabilitation process of stroke patients.
MongoDB Realm Docker ETL Python Microsoft Azure