Acerca de Francisco
- ETL/ELT pipelines in Databricks (PySpark, Delta Lake, Unity Catalog)
- Migrating and modernizing data architectures on Azure (ADLS, Data Factory) or AWS (S3, Glue, EMR, Lambda)
- Auditing and optimizing Databricks/Spark costs
- Data quality and governance frameworks
- Productionizing Machine Learning models alongside Data Science teams
- Automating data workflows with CI/CD (Azure DevOps, Jenkins, Docker)
Español
Bilingüe o nativo
Inglés
Bilingüe o nativo
Experiencia
- Mercedes-BenzTech Lead & Data EngineerAUTOMÓVILmayo de 2021 - Hoy (5 años y 2 meses)Madrid, España
- Led and coordinated a multidisciplinary team of 15 professionals, including Data Scientists, Data Engineers, and Data Analysts, mentoring new joiners and defining development guidelines and best practices.
- Translated business requirements into scalable and efficient technical solutions.
- Built an analytics platform for lead generation using PySpark, Databricks and Azure.
- Developed a data quality framework to detect and prevent invalid data before lead delivery.
- Reduced Databricks cluster costs by up to 40% through performance optimization and resource management improvements.
- Defined the data strategy for the Aftersales and R&D areas.
- BBVAData EngineerBANCA & SEGUROSmarzo de 2020 - mayo de 2021 (1 año y 2 meses)Madrid, España
- Developed an end to end data framework in PySpark for customer recommendations, including source data processing, transformations and recommendation output generation following the best practices.
- Collaborated with data scientists to operationalize ML models into production, while optimizing code to ensure high performance, scalability, and maintainability.
- Designed and implemented tests for framework components to ensure reliability and quality, contributing to CI/CD and automated deployment workflows.
- TelefónicaData EngineerTELECOMUNICACIONESenero de 2017 - marzo de 2020 (3 años y 2 meses)Madrid, España
- Normalized terabytes of data from multiple countries using PySpark on a Cloudera cluster.
- Designed and implemented end to end data pipelines, including data ingestion and transformations using AWS Glue and AWS EMR.
- Defined the data model to support scalable and efficient data access.
- Built and maintained APIs to expose data services and implemented API testing using API Gateway
- Orchestrated and automated data workflows and processes using Jenkins.
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Formación
- B.Sc. in Computer ScienceUniversidad Pontificia de Salamanca2016B.Sc. in Computer Science
- B.Sc. in Computer ScienceGlyndwr University2015B.Sc. in Computer Science