Zane Cantrell
Lead Data Engineer @Tractor Supply Company
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WORK HISTORY
Lead Data Engineer @Tractor Supply Company
Nashville, TN, US
Architected 55+ automated pipelines using Snowflake SQL, Python, PySpark, and Azure Data Factory to securely transfer encrypted customer data to Meta, Google, TikTok, Pinterest, and Bing APIs, saving $700K annually by eliminating third-party vendors.• Developed an SLA and data observability system integrating EWMA-based anomaly detection and validation metrics to safeguard Adobe clickstream feature pipelines and support scalable ML model deployment.• Managed a cross-functional team of 3 data engineers, establishing version control, CI/CD, and project tracking best practices using Databricks, Azure, GitHub, and Jira, resulting in faster deployment cycles and improved code quality.• Redesigned Abandon Cart, Abandon Browse, and Price Drop email campaigns using SQL and Adobe, integrating cross-sell and upsell machine learning models to enhance personalization; increased weekly email volume from 20K to 50K and boosted click-through rate from 15% to 25%.• Deployed 8 real-time machine learning pipelines integrated with Adobe Target\'s API, powering dynamic web personalization and content recommendations for Tractor Supply, increasing customer engagement and conversion rates.• Led the data engineering effort for a strategic collaboration with Boston Consulting Group, aligning all marketing data metrics across the enterprise; organized and managed consultant workflows, answered data preparation questions, and built SQL and Python pipelines to power executive-facing dashboards in Power BI.
EDUCATION
Haslam College of Business at the University of Tennessee
Bachelor of Science in Business Administration, Majors: Finance and Supply Chain Management; Minor: International Business
Wake Forest University School of Business
Master of Science in Business Analytics, Business Analytics
ABOUT ZANE CANTRELL
I am a data engineering professional that specializes in data engineering, data piplines, and prescriptive analytics. My expertise includes programming (Python/SQL/R/PySpark), natural language processing, data manipulation, data exploration, and statistical analysis. Prior to my work experience, I received a Master of Science in analytics from Wake Forest University School of Business, and a Bachelor of Science in Business Administration at the University of Tennessee, majoring in Finance and Supply Chain Management.Currently, I am seeking opportunities that will allow me to use my current experiences to create machine learning models on big data. Specific field of interest includes Data Engineering.Feel free to reach out with inquiries at either g•••••••@outlook.com
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