Experience

PayFit España

• Spain
• Information Technology & Services
• 100 - 200 Employee

• Senior Data Engineer

  • Nov 2022 - Present



zooplus

• Germany
• Retail
• 700 & Above Employee

• Big Data Engineer

  • Jun 2019 - Present

  Creation from scratch of a company-wide big data infrastructure. Technologies: Scala, AWS, Docker, Flux, Kubernettes, Vue+Javascript, Argo, and many more. Creation from scratch of a company-wide big data infrastructure. Technologies: Scala, AWS, Docker, Flux, Kubernettes, Vue+Javascript, Argo, and many more.



Atos

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Big Data Engineer

  • Aug 2018 - Jun 2019

  Worked in several projects: * Spark, Scala and Kafka based project for AllFundsBank. * ParaPanamerican games website: Analysis and design of the infrastructure used to create the site. * Ferrovial: Performance tests of a mongoDB to replace their current solution. Worked in several projects: * Spark, Scala and Kafka based project for AllFundsBank. * ParaPanamerican games website: Analysis and design of the infrastructure used to create the site. * Ferrovial: Performance tests of a mongoDB to replace their current solution.



HI Iberia Ingeniería y Proyectos

• Spain
• IT Services and IT Consulting
• 1 - 100 Employee

• Big Data Engineer

  • Sep 2017 - Aug 2018

  Client: Telefonica Design, development and migration from the existing streaming solution to a Flink / Kafka / Kubernettes based platform. * Design and development of the end to end solution. * Scala and Python development for the ingestion, pre-processing and cleaning of the data * Prediction and anomaly detection algorithm development * Technologies: Flink, Kafka, OpenShift, Logstash, ElasticSearch y Kibana. Client: Telefonica Design, development and migration from the existing streaming solution to a Flink / Kafka / Kubernettes based platform. * Design and development of the end to end solution. * Scala and Python development for the ingestion, pre-processing and cleaning of the data * Prediction and anomaly detection algorithm development * Technologies: Flink, Kafka, OpenShift, Logstash, ElasticSearch y Kibana.



Scalian Spain

• Spain
• IT Services and IT Consulting
• 200 - 300 Employee

• Big Data Engineer

  • Dec 2016 - Aug 2017

  Client: Isban Development, bugfixing and provide client support for SUPRA software, developed in Java and Scala, running on top of a Cloudera infrastructure. * Development & manteinience of the code written in Java and Scala * End to end testing using a Docker infrastructure Client: Isban Development, bugfixing and provide client support for SUPRA software, developed in Java and Scala, running on top of a Cloudera infrastructure. * Development & manteinience of the code written in Java and Scala * End to end testing using a Docker infrastructure



Mnemo

• IT Services and IT Consulting
• 300 - 400 Employee

• Python developer

  • Mar 2016 - Dec 2016

  Client: BBVA Several tasks involving data management for the Cloudera infrastructure. * Develpment and manteinience of the codebase written in Scala and Python for the data ingestion of the system * Early detection of vulnerabilities using ML techniques * Manteiniance of a MongoDB infrastructure keeping all the data * Web scrappers / api requests development to extract vulnerability information from our data providers. * Python code development to clean and process the extracted data Show less



Accelya Group

• United Kingdom
• IT Services and IT Consulting
• 700 & Above Employee

• Technical support

  • Jun 2015 - Apr 2016

  Project manager technical support for infrastructure migration * Development of scripts written in SQL, Bash and Python * Information extraction from a SQL database to support the migration process. * Graph and reports creation with key information to support the decisions for the migration project. * Automatic documentation creation (PDF) using python to support the migration process. Project manager technical support for infrastructure migration * Development of scripts written in SQL, Bash and Python * Information extraction from a SQL database to support the migration process. * Graph and reports creation with key information to support the decisions for the migration project. * Automatic documentation creation (PDF) using python to support the migration process.