Fractional Data Architect, Data Engineer, and Director-level analytics leader who steps in fast and delivers durable outcomes.
15+ years designing Snowflake and Azure data platforms, modern ELT/ETL pipelines, semantic models, and governed KPI frameworks across ERP, e-commerce, CRM, and SaaS ecosystems. Known for integrating messy systems, eliminating manual reporting, and creating executive-ready data foundations that teams trust and actually use.
Over the past couple of years, I’ve focused heavily on AI enablement and intelligent automation. I design and deploy AI agents connected to governed data layers, implement n8n workflows for event-driven automation, and build internal tools that reduce repetitive work across finance, marketing, operations, and support teams.
Available as a hands-on individual contributor or in fractional leadership roles (Director, Head of Data, CTO). My mix of operator-level execution and consulting experience makes it easy to step in, stabilize what exists, and improve it quickly.
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- ✅ 16 monitoring views tracking all Cortex services
- ✅ Query-level cost tracking - identify expensive queries
- ✅ Document processing analysis - compare PARSE_DOCUMENT vs Document AI
- ✅ Fine-tuning ROI tracking - separate training vs inference costs
- ✅ Cortex Search optimization - hourly cost tracking to find idle periods
- ✅ Latest pricing - Current rates for Cortex LLM models (15+ available)
- ✅ Serverless task - automatic daily snapshots, no warehouse needed
- ✅ Snapshot table - 4-5x faster queries
- ✅ Simplified Cost per User Calculator for quick scoping
- ✅ 30-day rolling totals for accurate estimates
- ✅ Smart data fallback - works immediately after deployment
- ✅ Historical trend analysis with week-over-week growth
- ✅ Export-ready credit estimates for proposals
- ✅ Zero disruption to production workloads
- Automatic daily snapshots at 3:00 AM
- No configuration - Snowflake manages compute
- Low cost: ~$0.30-1.50/month (vs dedicated warehouse)
- Captures data to
CORTEX_USAGE_SNAPSHOTStable - 4-5x faster queries compared to ACCOUNT_USAGE
- Pre-calculated metrics (no compute-on-query)
- Historical tracking beyond 90-day rolling window
V_CORTEX_USAGE_HISTORYview includes week-over-week trends- Moved to top of Cost Projections tab
- Historical reference table shows actual usage
- Simple persona configuration: name, user count, requests/day
- Instant estimates for per-persona and total costs
- Automatic fallback: Tries snapshot table first, falls back to live view
- Works immediately after deployment (doesn’t wait for 3 AM)
- Best of both worlds: Fast when available, always functional
- Removed Scenario Comparison tab
- Clean documentation in
docs/folder (user-facing only) - Streamlined codebase for easy understanding
- Essential files only for quick learning
Snowflake Cortex AI Cost Calculator
Purpose: Reference implementation for Cortex cost monitoring and forecasting
A professional toolkit for tracking Snowflake Cortex service consumption and generating accurate cost projections. Perfect for engineering teams during scoping exercises and for clients managing their AI workload budgets.
FEATURES
Key Features
Serverless Task (No Warehouse Required!)
Snapshot Table for Speed
Simplified Cost per User Calculator
Smart Data Fetching
Streamlined Experience
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