Manuel Pérez

Manuel is a Data Engineer with over 4 years of experience architecting high availability data platforms and scalable pipelines for the Telecommunications, Logistics, and BPO industries. He is a Databricks Certified Data Engineer Associate and Microsoft Certified Azure Data Engineer, holding an MSc in Informatics Systems (Artificial Intelligence), with published research applying data mining techniques to medical data analysis.

He has deep expertise in the Azure ecosystem and hands-on experience with AWS, specializing in distributed batch architectures, resilient orchestration workflows, robust data modeling, and automated validation frameworks. His work includes designing serverless integration solutions, migrating legacy reporting to modern Lakehouse architectures with Spark, Databricks, and Power BI, and building near-real-time ingestion pipelines — consistently delivering measurable gains in performance, cost efficiency, and system availability.

He leverages AI tools and agentic workflows extensively — including Claude Code, Gemini, and ChatGPT — to accelerate development, debugging, and solution design for critical business operations.