Carlos Herranz is a Data Engineer with nine years of experience building and operating data platforms across enterprise and startup environments, currently driving data initiatives at Inditex from Madrid. He has led teams and projects at CoverWallet/Aon and contributed to large-scale transformations at Meta, specializing in data ingestion, pipeline orchestration, anonymization, and monitoring using Python, Airflow, Presto, Redshift and AWS services. His background spans end-to-end analytics engineering—DWH administration, data model evolution, and metric/alert creation—combined with hands-on work in Spark, Kafka and Kubernetes. Carlos pairs a telecoms engineering MSc with practical experience in financial integrity and compliance use cases, giving him a strong foundation in both systems design and regulatory-aware data handling. He is comfortable translating data science needs into production-grade pipelines and has repeatedly led migrations and cross-functional delivery with data scientists and software engineers. Colleagues describe him as a pragmatic problem-solver who brings operational rigor to complex, privacy-sensitive data workflows.
8 years of coding experience
8 years of employment as a software developer
Msc. in Telecomunication Engineering Telematics, Msc. in Telecomunication Engineering Telematics at Universidad Politécnica de Madrid
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