Summary
Brian Lavery is a Staff Software Engineer with 11+ years driving large-scale data platforms at The New York Times, specializing in Google Cloud, BigQuery, and Airflow/Kubernetes deployments. He designs high-dimensional, high-volume datasets and performant daily batch pipelines that enable analyses previously impossible at the organization while prioritizing self-service through clear, graphic-led documentation. Beyond engineering, he runs hands-on trainings and leads a community of practice—organizing the NYC Apache Airflow Meetup and coaching teams to own their Airflow clusters, DAGs, and data alerts. He co-developed a self-service data alerting system (Snitch) and contributed an Airflow plugin for Great Expectations to automate BigQuery data quality checks and notifications. Known for blending pragmatic performance tuning with product-aware data modeling, he balances deep technical craft with strong stakeholder-driven business analysis.
11 years of coding experience
20 years of employment as a software developer
MBA, Information Systems, MBA, Information Systems at University at Albany