Bruce McMinn — Data Architecture & Engineering
Data architect and engineer based near Bellingham, WA. I design layered data architectures and build the pipelines and tools that turn raw data into governed, reportable insight. These are some projects I'm particularly proud of.
A medallion-style data architecture — raw, clean, and aggregated layers — carrying live readings from a personal Tempest station through AWS Lambda and CloudFront into a Power BI report that refreshes automatically as new data arrives.
View Report →Nightly scanner that ranks the market by ATR volatility, then filters for Supertrend uptrends and RSI momentum shifts — a fully automated pipeline on AWS Fargate and EventBridge, with results surfaced live in Power BI.
View Project →Twenty years of Euro exchange rate volatility across 40 currencies. Geopolitical events mapped against market movement, with an animated annual volatility world map.
View Notebook →A medallion-style data architecture — raw, clean, and aggregated layers — carrying live readings from a personal Tempest station through AWS Lambda and CloudFront into a Power BI report that refreshes automatically as new data arrives.
View Report →Nightly scanner that ranks the market by ATR volatility, then filters for Supertrend uptrends and RSI momentum shifts — a fully automated pipeline on AWS Fargate and EventBridge, with results surfaced live in Power BI.
View Project →Twenty years of Euro exchange rate volatility across 40 currencies, with geopolitical event annotations and an animated annual volatility world map.
View Notebook →Every project here runs on a shared AWS foundation — EventBridge scheduling, compute matched to workload (Lambda for short jobs, Fargate for longer scans), a single S3 bucket with per-project IAM scoping, and CloudFront serving Power BI reports embedded on this site. This write-up covers that foundation in full: the medallion-pattern lake, the decisions behind it, and a roadmap from current state to target state.
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