Teams at Chrysalis

Lead enterprise-wide AI transformation, integrating AI into strategy and operations while ensuring measurable business impact across all departments.

Design, build, and optimize cloud-native lakehouse data pipelines and curated data products using Python and SQL. Own data modeling, performance tuning, observability, governance, and reusable platform patterns to support analytics, embedded reporting, operational workflows, and AI/ML datasets. Mentor engineers, lead reviews, and improve platform reliability, cost efficiency, and data quality.

Design, build, and optimize cloud-native lakehouse pipelines and curated data products using Python and SQL. Drive data modeling, governance, observability, performance tuning, and asset-based orchestration to support analytics, embedded reporting, operational workflows, and AI use cases. Mentor engineers, lead design/code reviews, and collaborate across product, engineering, and analytics to improve platform reliability, cost efficiency, and data quality.