Building Multi-Terabyte ETL Pipelines on AWS Redshift
Lessons learned architecting ETL pipelines that process multi-terabyte datasets daily — the patterns, pitfalls, and performance wins from production at Amazon.
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Senior BI & Data Engineer with 8+ years across Amazon, Avnet & Cepheid — delivering scalable data pipelines, ML-powered analytics, and automation tools that generated $850M+ in documented business value.
I'm a Senior BI & Data Engineer with 8+ years of experience across Amazon, Avnet, and Cepheid — delivering scalable data pipelines, ML-powered analytics, and automation tools that have generated over $850M+ in documented business value.
I specialize in AWS (Redshift, S3, QuickSight, Bedrock), Python, SQL, Tableau, Power BI, and RPA (UI-Path). I thrive at the intersection of engineering and business strategy — building enterprise-grade reporting infrastructure that translates complex datasets into decisions that move the needle.
Currently based in the United States, open to senior data engineering, BI, and analytics leadership roles.
Collaborated with Finance, Operations, and Sales to build KPIs measuring brand profitability across FC Cost, Promotions, Revenue, and write-offs. Directly influenced brand onboarding and offboarding decisions at scale.
Built end-to-end ML forecasting pipeline using NumPy, Scikit-learn, XGBoost, and ARIMA to predict demand, Safety Stock, MOQ, and DU for high-demand materials. Designed companion dashboards in Python, SQL, Power BI, and Tableau.
Built UI-Path RPA robots to fully automate Avnet's Supply Chain business processes — delivering 35 FTE in savings and $100M/year in documented cost reductions. Backed by SQL Server and SSIS pipelines with daily automated SAP sync.
Designed and deployed company-wide reporting dashboards tracking NMI, Logistics, Finance, Inventory, and Safety Stock KPIs. Built on Power BI, QuickSight, and Tableau — providing real-time visibility to executive leadership.
Lessons learned architecting ETL pipelines that process multi-terabyte datasets daily — the patterns, pitfalls, and performance wins from production at Amazon.
Notify me →A practical comparison of time series methods after deploying both in production. When classical statistics beats ML, and when it doesn't.
Notify me →The full story of designing, building, and deploying an enterprise RPA program — from business case to $100M/year in savings.
Notify me →Senior BI & Data Engineer — 8+ years of experience across Amazon, Avnet, Cepheid, and GEP Worldwide. Skills in AWS, Python, SQL, ML, Tableau, and RPA.
A tailored cover letter highlighting my expertise in data engineering, BI development, and delivering measurable business impact at enterprise scale.
Whether you have a data engineering role, an analytics challenge, or just want to talk shop about ML and BI — my inbox is always open.