What I am building now, and the production work that led to it.
A productized data platform for mid-market companies that need trustworthy metrics and AI answers they can defend, without hiring a full data team. I am the founder, and I build it.
datapipelinebuilders.com →Managed data platform for mid-market companies. Snowflake provisioned per client, ingestion through dlt and Portable, dbt models layered staging to marts to metrics to insights, and an MCP server so AI agents query tested models rather than raw tables.
Collaborative SQL editor for teams. Shared workspaces, saved queries, and version history. Built as a landing spot for teams displaced by the PopSQL shutdown.
Data engineering courses and training drawn from production work: dbt project structure, Snowflake cost control, and the modeling decisions that actually cause pain later.
Moved utilization analytics off manual Excel processes onto an automated pipeline, contributing to a $3M cost target. Established KPI frameworks and peer benchmarking for 100+ employees across 168 department and service combinations.
Reworked account scoring methodology with statistical analysis, raising ARR capture rate from 75% to 91% and closed-won opportunity rate from 53% to 74%.
Led a cross-functional analytics initiative that identified funnel bottlenecks and delivered 12 data-driven recommendations to improve sales performance.
Built an end-to-end pipeline connecting NetSuite financial data to Looker via Fivetran, with transformations in Snowflake, denormalized reporting tables, and company-wide gross profit dashboards.
Logistic regression model in Python with hyperparameter tuning to predict customer churn and inform retention strategy.
This site. Astro, Svelte, and Tailwind, deployed as a static build.
A language learning platform with AI-powered conversation practice and personalized learning paths.
A news and insights platform covering AI developments, technical projects, and industry trends.
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