I build AI systems and host conversations with the founders building them.

Enid turns the documents behind a private-credit portfolio into a governed, continuously-monitored view of every deal — AI does the extraction, humans keep authority over every figure, and each number carries its source and confidence. It's the same governed-data playbook I bring to Snowflake work, proven by building a company on it.

Agent AI Systems builder

• Working on my harness for all of the things
• Claude Code, Co Work, Skills, SubAgents, Knowledge Management, Memory, Worktrees, Parallel Workers
• OpenAI Codex - Similar experience as part of the SF Codex Meetup
• Cortex Code (Snowflake) - Integration with Claude Code

If you're considering my help with Snowflake, I've led Snowflake Strategy and Implementation

• Former Snowflake Employee in Professional Services for 2 years as Senior Solution Architect
• Solution Architect for Data Science Development Environments and Machine Learning Operations
• Data Architect and Data Engineering Leader
• Optimize performance for complex workloads
• Cloud Architecture and security fundamentals

Now leading the Snowflake Bay Area Users Group.

I've just taken over as organizer — bringing Bay Area data practitioners together to share what's working with Snowflake, data engineering, and AI. Come say hi at the next meetup.

VP of Programs and board member at DAMA Los Angeles — where I host DAMA LA Presents, the chapter's podcast.

• Coaching and mentoring architects, engineers, analysts and designers
• Cortex Code, Agents, SubAgents, Skills, Memory, Harnesses
• Snowflake SQL, Tasks, Streams, Dynamic Tables, Stages, Pipes, Catalogs, Iceberg, ...
• Snowflake Security, Governance, Policies, Tagging, Data Modeling, Semantic Models
• Private Link, Private Endpoints, Azure, AWS and Business Resumption Planning
• A little GCP

❄ A Secure, Governed Snowflake Platform for a Bank — Dev to Prod — 13-week engagement: a secure environment carried from dev and QA toward production — enterprise identity (Azure AD SSO/SCIM), two-layer RBAC across 20 roles and 3,700+ grants, four-layer defense in depth, a medallion foundation with dbt, and repeatable build scripts so prod comes up from the same source as non-prod.

🤖 Turning Lending Documents into an AI-Powered Data Asset — Snowflake-native AI (Cortex Agents, Search, Analyst) turning a healthcare-practice lender's unstructured documents into queryable intelligence, plus a reusable knowledge-discovery framework so the next document type follows the same path.

• Global Data Strategy implementation of Medallion Architecture, DevOps processes, and Data Contracts in Snowflake
• Helping government agencies modernize their data platforms and pipelines
• Helping diverse Snowflake customers learn about Snowflake platform architecture and best practices
• Exploring Snowflake Intelligence, Cortex Code, Agents, Semantic Search, Document Processing, Knowledge Management

A working lab of Snowflake patterns I use and teach — see the /scripts and /docs folders:

• Provisioning scripts — parameterized, turn-key EDW build & teardown
• RBAC design & principles — two-layer role model, 13 documented best practices
• Merge patterns — Basic Merge → Row Hash → Dedup → Stored Procedure

• 📄 Résumé — Snowflake Architect — view online or download the PDF
• 💼 LinkedIn
• 🎙️ DAMA LA Presents — host
• 🏗️ Enid — co-founder; investment intelligence for private credit
• 🏢 Milbird — how I deliver services
• ✉️ Reach me at john@milbird.com
• 🌐 jymiller.github.io/jymiller

🕊️ Founder of MILBIRD