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Francisco De La Rosa JimenezFD

Francisco De La Rosa Jimenez

Data Engineer & AI Automation | Python, AWS, GCP

€420/day
Málaga, ES
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Francisco

Data Engineer with over 6 years of experience building robust and scalable data pipelines for companies like Stellantis.

Specialized in Python, AWS, and GCP, with a focus on modern data architectures (Snowflake, BigQuery, Databricks) and AI process automation.

Currently helping companies transform their data into real competitive advantages — from ETL pipelines to production AI agents.

Have a data or automation challenge? Let's talk.
  • Spanish

    Native or bilingual

  • English

    Fluent

Can work on-site
Málaga (up to 50km)

Experience

  • Marbill Technologies
    Data Engineer
    E-COMMERCE
    August 2024 - December 2025 (1 year and 4 months)
    Marbella, AN, Spain
    Data Engineer specializing in Python, responsible for implementing ETL pipelines in AWS cloud and Apache Airflow for workflow management.

    Implementation of solid and scalable data architectures.

    Integration with external REST API services

    Automation of repetitive processes using Airflow
    Python AWS Apache Airflow REST API AWS Athena
  • IOON
    Data Engineer
    AUTOMOBILE
    August 2022 - July 2024 (1 year and 11 months)
    Stellantis, Amsterdam, NH, Netherlands
    Data Engineer at Stellantis Group

    Implementation of ETL/ELT pipelines in GCP for data migration between BigQuery/Snowflake to reduce operational costs

    Implementation of solid and scalable data architectures in Snowflake and BigQuery focusing on cost optimization.

    Programming pipelines in Python and Pyspark in Databricks
    Python Snowflake Google Cloud REST API Azure Databricks
  • Verisk
    Data Engineer
    TECH
    April 2021 - March 2022 (11 months)
    Malaga, Spain
    Python Data Engineer, implementing scalable solutions in AWS and Snowflake as a data warehouse.

    Creation of ETL/ELT pipelines in Snowflake using Snowpipes/stages for massive data ingestion.

    Use of AWS Lambda and S3 + API Gateway for data ingestion from external sources

    Use of Databricks for Delta Lake management
    Python Snowflake AWS ETL Databricks

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Education

  • AWS Certified Cloud Practitioner Academy Accreditation - Databricks Fundamentals Academy Accreditation - AI Agent Fundamentals Elastic Kubernetes Service Docker on AWS
    AWS Certified Cloud Practitioner Academy Accreditation - Databricks Fundamentals Academy Accreditation - AI Agent Fundamentals Elastic Kubernetes Service Docker on AWS
  • Certified in the latest Databricks and AI Agents technologies
    2026
    Certificado en las últimas tecnologías de Databricks y Agentes de IA

Skill set

Categories