Summary
Fernando Gomez Perera is a Data Engineer with eight years of experience building and operating ETL pipelines, model deployment workflows, and data lakes across GCP and AWS for media, finance, and retail clients. He has led cross-disciplinary teams as a tech lead, refactoring SQL and PySpark pipelines in BigQuery/Dataproc and deploying ML models with Vertex AI and Amazon Personalize while orchestrating workflows with Airflow and Step Functions. Comfortable with both Spark (Scala/PySpark/Databricks) and serverless patterns (Glue, Lambda, Cloud Composer), he pairs hands-on engineering with cloud-native infrastructure as code practices. His background includes geospatial processing with Apache Sedona and practical data viz/PoCs in R and Shiny, reflecting a blend of analytics-first thinking and production engineering. Based in Essen, Germany, he blends a passion for data and machine learning with a lighthearted side—an admitted cat-meme enthusiast—bringing both curiosity and team-oriented leadership to complex data challenges.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Computer Science Data and Organizational Intelligence Engineering, Bachelor of Computer Science Data and Organizational Intelligence Engineering at Universidad del Caribe (MX)
Bachelor of Engineering - BE Mechatronics Engineering, Bachelor of Engineering - BE Mechatronics Engineering at Universidad Autonoma de Yucatan
German