Years building systems
From support engineering to enterprise analytics leadership.
Analytics engineering · Semantic systems · Agentic intelligence
I build scalable analytics systems, semantic models, and AI-driven decision infrastructure that turn data into trusted business action.
Positioning
My work sits at the intersection of architecture, governance, and intelligent automation—designing systems that scale trust before speed.
My lane is not dashboard production. It is the architecture, governance, and automation layer that lets teams trust analytics and move faster without creating a mess.
From support engineering to enterprise analytics leadership.
Modernized analytics pipelines and reduced delivery friction at scale.
Built systems directly tied to monetization and product-led growth.
Operating principles
Simple rules for building analytics systems that survive scale, leadership changes, and the next shiny tool.
Truth
Metrics, KPIs, and business rules should have one governed home, then flow into dashboards, workflows, and agents.
Trust
Fast analytics without trusted definitions creates expensive confusion. Governance is not bureaucracy; it is leverage.
Leverage
AI and workflow automation should remove drag from teams so humans can spend more time on judgment, strategy, and execution.
Selected work
Three flagship areas. The full detail lives in the portfolio.
Led BI and analytics engineering work around governed metrics, reusable modeling standards, and AI-ready data assets.
Read case studyImplemented ELT and modeling standards that reduced delivery time by more than 80% in the first few months.
Read case studyBuilt GTM and product-led systems tied to more than $15M in ARR opportunities.
Read case studyContact
For leadership opportunities and conversations about analytics engineering, semantic systems, or AI-driven decision infrastructure, connect with me on LinkedIn.
Connect on LinkedIn