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Jose R.JR

Jose R.

Supermalter

Data Engineer:Python |AWS|Power BI | PySpark | SQL

EUR 450/Tag
7 Projekte
Madrid, ES
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Jose

Español:

En mi sitio web joseriesco.com podrás encontrar mis proyectos actualizados

Mi carrera en datos comenzó en la cotizada alemana Bechtle, donde lideré la digitalización del departamento de operaciones. Automatizé procesos con Python, Power Automate y VBA, y desarrollé reportes en Power BI para mejorar la toma de decisiones.

Luego, en Mscope, empresa enfocada en herramientas para fondos de inversión, gestioné bases de datos, creé ETLs complejas y modelos automatizados para optimizar la gestión de fondos. Trabajé con AWS (Lambda, S3, Step Functions, RDS, EMR) e integré APIs con Postman y Python para mejorar el procesamiento de datos.

También desarrollé una web automatizada con Django y Selenium, aplicando HTML y CSS.

Me especializo en automatización, análisis de datos y optimización de procesos. Si buscas mejorar eficiencia y aprovechar datos, ¡hablemos!

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English:

On my website joseriesco.com you can find all my projects updated

My data career started at the German-listed company Bechtle, where I led the digitalization of the operations department. I automated processes using Python, Power Automate, and VBA, and developed Power BI reports to enhance decision-making.

Later, at Mscope, a company focused on investment fund tools, I managed databases, built complex ETLs, and automated models to optimize fund management. I worked with AWS (Lambda, S3, Step Functions, RDS, EMR) and integrated APIs using Postman and Python to improve data processing.

I also developed a fully automated web platform with Django and Selenium, applying HTML and CSS.

I specialize in automation, data analysis, and process optimization. If you're looking to boost efficiency and make better use of your data, let’s talk!
  • Spanisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

Vor Ort möglich
Madrid (bis zu 50 km)

Projekt- und Berufserfahrung

  • Novartis [Global]
    Data Engineer
    PHARMAZEUTISCHE INDUSTRIE
    Januar 2026 - Heute (5 Monate)
    • Designed and optimized data pipelines using Kubernetes and Databricks, ensuring scalability and reliability in distributed environments.
    • Managed and maintained Snowflake databases and warehouses, developing scalable ETL workflows for large-scale data processing.
    • Built and orchestrated ETL processes using Helm and Databricks CLI, and implemented CI/CD pipelines with Jenkins.
    • Developed Streamlit applications to deliver data-driven insights, supporting Marketing and Sales teams.
    SQL Server AWS ETL-Prozesse (Extrahieren, Transformieren, Laden) Big Data Business intelligence
  • Leboncoin
    Data Engineer Consultant
    DIGITALAGENTUREN & IT-CONSULTING
    September 2025 - Dezember 2025 (3 Monate)
    • Led the strategic migration of Machine Learning and Data Science notebooksfrom a central environment to a team-managed account, significantly enhancing autonomy, scalability, and security across the data infrastructure.
    • Key achievements include integrating and optimizing PySpark workloads on Amazon EKS for seamless distributed processing, implementing Infrastructure as Code (IaC) using Terraform and Helm for reproducible AWS deployments, and designing fine-grained access controls following the principle of least privilege to ensure data governance and security.
  • Stylib
    Data Engineer Consultant
    Juli 2025 - Juli 2025
    • Developed a web scraper using Selenium to automatically extract product specifications from various websites.

    • Implemented a Machine Learning model based on Hugging Face to detect and classify units of measurement, including data generation and fine-tuning to improve accuracy in specific contexts.
    Machine Learning Web Scraping

Bewertungen

5.0

Von 1 Bewertungen

K

Kerubi

Kerubi

Bewertet am 15.7.2023

Un profesional genial que sin duda volveremos a trabajar con el. Cuida todos los detalles y contempla todos los casos, teniendo siempre en mente la visión general del proyecto y su ejecución.

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