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Victor Vaquero Martinez

Software Engineer
  • Vigo, Spain
  • +34 664 607 389
  • victorvaquero.etereot@gmail.com
  • VictorVaquero
  • victorvaquero.com
Victor Vaquero headshot

Summary

Experienced Full Stack Engineer proficient in Python, Spark, Typescript & React, a Computer Science and Statistics double graduate. Passionate about data science, data engineering and technology in general, I'm always looking for exciting new projects and opportunities.

Experience

  • Data Engineer2024-Now

    Redslim

    Madrid, Spain
    Massive data processing of product sales results across tens of thousands of department stores — hundreds of TBs/day, millions of records — cleaning, homogenization and enrichment through Azure, Spark and Databricks. Part of a ~20-person data team, driving faster reporting and cost savings for the business.

  • Software Developer2022-2024

    Alamo Consulting

    Madrid, Spain
    Development of ETL solutions (Python, Spark, SQL) in Azure cloud environments, most notably for LaLiga, Spain's top football league — processing hundreds of TBs of OTT media, marketing campaign, and piracy data to power anti-piracy enforcement and marketing analytics.

Programming

  • Python
  • R
  • Sql
  • Spark
  • Typescript
  • React
  • Pandas
  • Numpy
  • Node.js
  • Astro

Tools

  • Git
  • Azure
  • Databricks
  • Aws
  • Kubernetes
  • Docker
  • Jenkins
  • PostgreSQL

Languages

  • Spanish (Native)
  • English (C1)
  • German (A1)
Victor Vaquero Martinez2 / 2

Experience (cont.)

  • Data Scientist2020-2021

    Management Solutions

    Madrid, Spain
    Stress testing and risk modeling for major Spanish and international banks, applying advanced financial and climate-driven models — including economic impact estimation from weather/climate variables — and building dynamic web dashboards for client-facing analysis, using Python and R.

  • Junior Data Scientist2020

    Comlet

    Zweibrücken, Germany
    Internships for the development and implementation of predictive algorithms for continuous testing, applying machine learning algorithms on data extracted from tools such as Jenkins, Sonarqube, Gitlab CI/CD.

Education

  • Computer Engineering

    Universidad de Valladolid · 2015-2020

  • Statistics

    Universidad de Valladolid · 2015-2020

  • Mathematics

    UNED · 2023-Now

Projects

  • Institut Gala

    Website for a clinical institute, presenting their team, treatments and contact information.

  • Galena Databook

    Health platform focused on improving clinical studies by allowing researchers to automatically extract data from anonymous clinical histories

  • Minoca Research

    Artificial intelligence in the diagnosis of Acute Myocardial infarction with non-obstructive coronary arteries (MINOCA). Cardiology Department at Hospital Universitario de Getafe, Madrid, Spain

  • Cardiology Research

    Artificial intelligence in the diagnosis of Acute Coronary Syndrome and prevention of risk of complications. Cardiology Department at Hospital Universitario 12 de Octubre, Madrid, Spain