A Staff Data Engineer with over 15 years of experience in building enterprise data products. Currently pioneering the development of Siphon, a real-time data streaming product that enables reliable data delivery across Snowflake and Clickhouse using Apache Iceberg. Specializes in transforming traditional data pipelines into scalable data products with emphasis on reliability, observability, and user experience.
Their product engineering journey includes developing self-service data platforms, automated data quality frameworks, and real-time analytics solutions using Snowplow, Monte Carlo, and cloud-native technologies. They've successfully led the productization of data infrastructure across GCP and AWS, implementing infrastructure-as-code practices with Terraform and continuous delivery pipelines.
Passionate about building data products that deliver immediate business value, they focus on creating intuitive, reliable data solutions that empower organizations to make data-driven decisions with confidence. Their product-first approach combines technical expertise with user-centric design to deliver data solutions that scale.