Summary
Arturo Lorenzo is a Big Data and cloud-focused solutions architect with eight years of hands-on experience building scalable ETL pipelines and data platforms across AWS and Azure. Currently shaping data architecture at Grupo IskayPet, he combines PySpark, EMR/Glue, Step Functions, Lambda and Terraform to deliver reliable, cost-effective production systems. His background includes end-to-end implementations in Databricks, Azure Synapse, ADF and CI/CD automation, reflecting strong operational ownership and data quality emphasis. Starting programming at 19 and with roots in FPGA research, he brings both low-level technical curiosity and pragmatic engineering for analytics at scale. Arturo maintains an active GitHub with completed projects that showcase his practical approach to data engineering problems. Based in Murcia, Spain, he thrives on turning complex business requirements into automated, observable data solutions.
7 years of coding experience
3 years of employment as a software developer
Computer Science IngenierÃa informática, Computer Science IngenierÃa informática at Universidad de Murcia
Spanish, German, English