Summary
Pedro Fernandes is a seasoned Data Engineer with a decade of experience designing and delivering large-scale data pipelines across finance, insurance, telecommunications, and travel industries. He specializes in Databricks, Spark (Scala and PySpark) and Python, with a strong cloud and orchestration background including Azure, Kubernetes, Airflow and Argo. Pedro has repeatedly held technical lead roles processing high-throughput event streams and sensitive banking datasets, and he combines hands-on engineering with teaching experience as an invited Big Data lecturer. Based in Barcelos, Portugal, he moves fluidly between legacy Java systems and modern Delta Lake architectures, often bridging ETL performance tuning with production reliability. A practical problem-solver, he has scaled systems that process millions of call-trace events and built internal metrics pipelines that inform business decisions.
10 years of coding experience
11 years of employment as a software developer
Universitat Politècnica de València
Degree in Computer Science, Computer Science, Degree in Computer Science, Computer Science at Universidade do Porto
English, Portuguese, Spanish