Summary
Eduardo Ohe is a data engineer with over 11 years of hands-on experience and 20+ years in architecting, migrating, and deploying data analytics solutions across AWS and GCP. Holding a Bachelor in Computer Science and an MBA, he uniquely bridges business strategy and technical execution to deliver production-ready ETL, data warehouse, and ML pipelines. He’s skilled with modern stacks—Spark, Beam, dbt, Airflow, Snowflake/BigQuery/Redshift—and certified as a GCP Professional Data Engineer plus multiple AWS specialties. A self-learner who codes in Python, Scala, and Go, he pairs practical DevOps (Docker, Kubernetes, CI) with ML tooling (TensorFlow, scikit-learn, MLflow) to move models into production. Based in Vancouver, he combines enterprise experience with a continual curiosity for new technologies, often favoring pragmatic, business-aligned solutions.
10 years of coding experience