Description

Más de 17 años de experiencia profesional y una amplia experiencia en el diseño e implementación de soluciones distribuidas en big data y analítica avanzada, blockchain, aplicaciones PWA en Angular, CI/CD, etc.

Soy cofundador de la startup tecnologica Orvium, y he trabajado en el CERN (Laboratorio Europeo de Física de Partículas) y en Volkswagen Data:Lab Munich apoyando las actividades de investigación y data science desarrollando soluciones y servicios analíticos de big data.

Languages

Spanish
Native or bilingual
English
Fluent
French
Basic

Workplace preferences

Remote only

Primarily works remotely

Orvium
Cofounder
EDUCATION AND E-LEARNING
January 2018 - Today (8 years and 5 months)
Vitoria-Gasteiz, Álava, Spain
Responsible for technical infrastructure and development:
- Direct the design and development of the Orvium platform using Angular, NestJs, and serverless technologies.
- Organize and prioritize the development of the components within the team according to the roadmap.
- Automate the deployment of the IT infrastructure using cross cloud deployments.
- Develop smart contracts for the blockchain features in the platform.

Prepare and deliver training courses for Angular framework for IT professionals.
NestJs Angular Material Blockchain AWS Angular
Data:Lab Munich
Software Data Engineer
December 2017 - October 2018 (10 months)
Munich, Germany
Create scalable software solutions and design the core cloud infrastructure to support the data processing needs and the development of Artificial Intelligence products within Volkswagen.
• Automated the deployment of the central IT infrastructure for the lab using cross-cloud deployments in OpenStack and AWS.
• Work with data scientist teams to design and implement the technical infrastructure and technology stack for their products.
• Develop and automate ETL workflows to ingest and process data from heterogeneous data sources using CI/CD pipelines.
• Teamwork using SCRUM and Continuous Integration practices such as testing, code reviews, pair programming, use of modern tools for team communication, establish automated deployment procedures and create user and admin guides.
• Support user activities and put in place proactive monitoring and alerting systems to identify issues in the platform. Continuous Integration and Continuous Delivery Pipeline (CI/CD)
• Design the architecture for the CI/CD need of the lab.
• Implement the deployment of Jenkins cluster using automation tools.
• Integrate with Volkswagen central services.
• Work with team use cases for the development and delivery of data processing pipelines using CI/CD. Design and implementation of the DataLab Analytics Platform
• Design the architecture for the next version of the platform using Kubernetes and Helm.
• Implement new applications for the platform to support new needs of the data scientist teams.
• Provide system monitoring and alerting for both core and user applications.
ETL CI/CD Kubernetes AWS Jenkins
CERN
Software Data Engineer
July 2014 - July 2017 (3 years)
Geneva, Switzerland
Design and develop scalable software solutions to support the data processing and analytics needs of the laboratory using the IT central platforms such as Puppet and OpenStack
• Set up collaboration channels with user communities, including engineers and physicists
• Teamwork using SCRUM and CI practices such as code reviews, pair programming, documentation, team communication, automated deployment Kafka service
• Co-lead the design of the architecture
• Develop the front-end application in Angular 4 that facilitate the management of the clusters to users and admins
• Implement the REST API using Spring Boot, Swagger, JPA and Hibernate
• Extend Puppet modules to automate the component configuration
• Develop a CLI tool in Python and create jobs to automate the cluster operations Integration of time series databases into the database on demand service
• Identified the need to manage efficiently time series data. Presented the proposal to integrate InfluxDB as cutting-edge solution
• Directed the integration of InfluxDB in the platform
• Cooperate with the team to develop new functionalities, including an improved monitoring and interactive dashboards
• User support to +50 production databases Reliability and Availability (RAMs) for the Future Circular Collider
• Collaborate with RAMs scientists to support their technical needs
• Develop ETL workflows to ingest data into Hadoop from heterogeneous data sources including RDBMS
• Help the RAMs scientists to speed up the data processing using PySpark openlab
• Collaborate with Oracle developers and product owners on data analytics technologies with potential application to CERN use cases such as R, Big Data Discovery and graph engines. Elaborate reports about functionality, UX and technical features
• Present at international conferences like Oracle OpenWorld
• Consultancy to leading companies such as BMW and ASML
• Organise workshops and give training sessions about data analytics
Infrastructure as code (IaC) Oracle Data Analytics Openstack ETL