data542

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.

WeatherFlow Live Dashboard screenshot
Data Architecture · AWS · Power BI

WeatherFlow Live Dashboard

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 →
Swing Trader dashboard screenshot
Data Architecture · AWS · Finance · Power BI

Swing Trader

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.

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Euro on FOREX world map visualization
Python · Pandas · FOREX · Geospatial

Euro on FOREX

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 →
WeatherFlow Live Dashboard
Data Architecture · AWS · Power BI

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 →
Swing Trader
Data Architecture · AWS · Finance · Power BI

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 →
Euro on FOREX
Python · Pandas · FOREX · Geospatial

Twenty years of Euro exchange rate volatility across 40 currencies, with geopolitical event annotations and an animated annual volatility world map.

View Notebook →
data542 current-state platform architecture diagram
Architecture · AWS · Data Governance

Platform Architecture

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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