analytics engineer · milwaukee, wi

Dean Kuhn

I work across the full data lifecycle. The pipelines, transformations, warehousing, ML, and dashboards that make it usable. WGU CS graduate (May 2026), looking for a junior data engineering, analytics engineering, or data analysis role where I can own a problem from raw input to shipped result.

Last pipeline run: 2026-07-27  ·  3 projects live, 1 in development
KitchenSync
data engineering · live
● live
97.5% ML service level
96.7% baseline
+2.9pp waste trade-off
36 days run
ML service level · last 14 days
Music Growth Pipeline
data engineering · live
● live
7,751 artists tracked · 12 weeks
mainstream P90
4.2%
indie P90
12.8%
Package Delivery Routing
algorithms · complete
✓ complete
28257.7 final fitness score · 10000 generations
191 packages
11 trucks
5 refrigerated
Market Cynic Pipeline
data engineering
◌ in development
v2 in development

Rebuilding on Databricks, Azure Data Lake Storage Gen2, Delta Lake, PySpark, and Apache Airflow. Shifting from Reddit sentiment to S&P 500 breakout signal detection. v1's automated runs are paused after Reddit shut down the public .json endpoints.

CS graduate (WGU, May 2026) based in the Milwaukee area. Looking for roles where the work involves getting data from raw to useful. Engineering the pipeline, modeling the warehouse, or doing the analysis downstream.

My projects run the full stack on purpose: ingestion, transformation, warehousing, ML forecasting, and dashboarding. Understanding why a pipeline breaks is easier when you've written the transformation layer yourself.

stack
languages
PythonSQL
data & storage
PostgreSQLSnowflakedbt CorepandasFastAPI
ml
LightGBMscikit-learn
viz
StreamlitPower BI
infra
GitHub ActionsAWS EC2DockerLinux/WSL
learning
DatabricksAzure Data Lake Storage Gen2Delta LakePySparkApache Airflow