Developed and was responsible for Databricks ETL (Extract, Transform, Load) pipeline generating a mission-critical database for 13 million customers across 13 countries as a contractor for Starbucks. Engineered Python library with Databricks Unity Catalog promoting data governance best practices while contracting for General Motors, presenting to technical and non-technical stakeholders. Analyzed more than 25 million rows of customer data using Databricks focusing on customer acquisition, directly presenting strategic recommendations to analytics stakeholders at Starbucks. Engineered report generation pipeline leveraging Python, Matplotlib and Jupyter Notebook, enabling on-demand creation of 8 supply chain reports for 15,000 Starbucks locations across North America. Created internal dashboards and email alerts using Splunk, decreasing average client incident response time from 3 hours to 20 minutes, representing an 88% reduction in response time.