Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Develop and maintain operational automation, scripts, workflows, dashboards and reports to reduce manual effort, improve data quality and provide timely service insights
Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Assist in infrastructure modernization initiatives, including migration to containerized environments and implementation of DevOps and automation practices.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.