Resources
Field notes.
The same thinking I bring to paid engagements, in the open — write-ups on real platform work. Published as engagements allow, always anonymized where it matters.
- Write-up
Power BI performance turnaround for a Fortune 500 enterprise — and the $10K/month Azure fix that followed
How a stalled Power BI semantic model got rebuilt from scratch in a week — and what that led to: an Azure Analysis Services tier right-sized from ~$26K/month down to ~$10K, with no drop in performance.
#power-bi#case-study#cost-optimization#azure-analysis-services - Write-up
Turning a one-off BI build into a product banks could deploy in under an hour
How a custom BI platform for banking clients became a modular, productized offering — new deployments fully configured in under an hour, sold as ready-to-ship add-ons instead of rebuilt from scratch each time.
#power-bi#azure#case-study#product - Write-up
Agentic code review that engineers actually trust
Past a certain size, human review becomes the bottleneck in a dbt estate. Here's the pattern I use for AI review that cites its sources, takes pushback seriously, and costs little enough to run on every pull request.
#ai#mcp#engineering#architecture - Write-up
Cutting a five-figure monthly cloud bill out of a large data estate
An enterprise platform past four thousand dbt models on Snowflake, Databricks and Azure, where nobody could explain the bill any more. What I found, what I changed, and what it was worth.
#snowflake#databricks#azure#cost-optimization#dbt - Write-up
Power BI deployments deserve the same discipline as application code
A manual Power BI release process became a version-controlled CI/CD pipeline built on PowerShell, the Power BI REST API and Azure DevOps — and why the discipline outlasts the tooling that enforces it.
#azure-devops#power-bi#ci-cd#engineering
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