Summary
Pablo García is a Senior Data Engineer with nine years of experience building scalable Big Data pipelines, specializing in Apache Spark with Scala and Python and increasingly focused on cloud-native architectures in Google Cloud Platform. He has delivered production ETLs and streaming solutions across finance, retail and telecom—working on high-impact projects like EMIR REFIT reporting and AML pipelines for Santander—while modernizing legacy Pandas code to PySpark on Databricks. Comfortable across the data stack, he blends orchestration (Airflow, Workflows), CI/CD (Jenkins, Ansible) and storage/query optimization (BigQuery, Kudu, GCS) to improve performance and reliability. He also invests in knowledge transfer, having taught and mentored junior engineers in Spark and Scala, and brings an analytical engineering background (civil engineering and an MBA) that helps him translate complex requirements into pragmatic, auditable solutions.
9 years of coding experience
3 years of employment as a software developer
Civil and Mining Engineering Civil and Mining Engineering, Civil and Mining Engineering Civil and Mining Engineering at Ewha Womans University
Doble Titulación en Ingeniería Técnica de obras públicas y minas Especilidad en construcciones civiles y explotación civil, Doble Titulación en Ingeniería Técnica de obras públicas y minas Especilidad en construcciones civiles y explotación civil at Universidad de Córdoba
Master of Business Administration (M.B.A.) Dirección de Empresas, Master of Business Administration (M.B.A.) Dirección de Empresas at Universidad Pablo de Olavide
Spanish, English, French, Korean