- Architected and implemented an overhaul of a full-stack event processing service to the cloud with 0 downtime, and enabled savings from reduced software licensing costs. - Created several new forms and pages in our data catalog UI for storing metadata for clickstream events, decreasing the number of touchpoint needed to register new events.- Responsible for over 50 near real-time pipelines that stream critical supply chain event data for use in business dashboards and reporting. - Collaborated with another engineer to design and develop a Python program to automate the mapping of individual data streams into a combined data model downstream to facilitate easier use of the data by business users.

- Oversaw a yearlong DataOps initiative to increase the SLA on-time compliance of our data warehouse through better monitoring and developer practices, boosting monthly compliance from 25% to 95%. - Automated daily alerting through Python and Airflow to flag when data sources were not updated, reducing average time needed to alert infrastructure team on failures by at least 30 minutes. - Developed a Python script to safely configure and deploy data integrity checks to our production environment, significantly reducing frequency of production failures from developer errors. - Spearheaded design and development of a global dashboard in Google Data Studio with 60 performance metrics, endorsed and utilized by global supply chain leadership.

- Launched a series of extensions to our core data warehouse in Google BigQuery, unlocking additional insight into over 100,000 customer orders, as well as enabling performance reporting on over 200 million cartons in our network.- Identified several severe bugs affecting the stability of our data infrastructure, and collaborated closely with the platform vendor to resolve these issues, cutting the number of user-reported errors by 80%.