Alex Fanet is a Business Intelligence Engineer II with nine years of experience turning complex data into actionable insights, currently supporting seller and advertising teams at Amazon. He blends strong analytics and engineering skills—SQL-driven ETL design, Python automation, and visualization with QuickSight, Tableau, and Power BI—with a background in C#/.NET and FileMaker-based solutions. His work spans end-to-end pipelines, third-party data ingestion, and automated alerting to accelerate operational decisions and process improvements. Previously he led analytics and ETL efforts across education travel and music industries, building predictive models in Python and R and migrating legacy systems to cloud-hosted architectures. While pursuing an M.S. in Business Analytics at William & Mary, he continues to apply production-grade scripting and database design to real business problems. Colleagues value his combination of domain fluency in accounting/finance workflows and practical automation that saves time and surfaces revenue-impacting signals.
9 years of coding experience
9 years of employment as a software developer
High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, GPA: 3.99, High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, GPA: 3.99 at W.T. Woodson High School
Bachelor of Science (B.S.) Cum Laude, Industrial and Systems Engineering with a Minor in Business, GPA: 3.49, Bachelor of Science (B.S.) Cum Laude, Industrial and Systems Engineering with a Minor in Business, GPA: 3.49 at Virginia Tech
Master of Science (M.S.), Business Analytics, GPA: 3.86, Master of Science (M.S.), Business Analytics, GPA: 3.86 at William & Mary – Raymond A. Mason School of Business
Contributions:25 commits, 4 PRs, 2 pushes in 2 years 7 months
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Alex Fanet - Business Intelligence Engineer II at Amazon