Summary
Nicolas Gagnon is a Senior Data Engineer with nine years of experience building scalable, secure data platforms and productionizing ML/analytics workflows across fintech and global consumer businesses. He has led Snowflake/dbt platform builds, high-throughput ETL with PySpark/Dataproc, and end-to-end CI/CD and data-quality tooling that delivered measurable time savings and accuracy improvements. Nicolas combines deep technical delivery—designing event-tracking frameworks, RBAC-driven security, and automated onboarding pipelines—with hands-on mentorship and hiring experience across distributed teams. Comfortable in cloud-native and serverless patterns (Terraform, SQS/KEDA, Airflow, Databricks), he’s also guided cross-regional stakeholders to adopt data mesh practices. A former neuroinformatics researcher turned digital nomad, he brings curiosity and multidisciplinary problem-solving to bridge research-grade analysis with production engineering.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc), Computer Science and Behavioural Neuroscience, Bachelor of Science (BSc), Computer Science and Behavioural Neuroscience at The University of British Columbia
English, French, German