Chris Gainus

Background

My undergrad was psychology. I went on to get an M.S. in Clinical Psychology from NYU. Then I built a career in software engineering. That combination is not a detour. It is the reason I can talk to clinical teams about their data problems and actually understand what they need.

Nineteen years in, I have worked across the full healthcare technology stack. EHR integrations. Claims data pipelines. Risk adjustment analytics. Salesforce Health Cloud implementations. AI systems for patient outreach. Compliance platforms. BI dashboards that clinical operations actually trust.

I co-authored a peer-reviewed COVID-19 epidemiology study published in Annals of Epidemiology. The research side gave me a rigorous approach to data. The engineering side gave me the tools to build systems at scale. Both matter in healthcare, where a bad metric is not a typo. It is a compliance finding or a patient safety issue.

Technical Expertise

Five point zero across every engagement. That is not a marketing line. It is the rating on every platform where clients leave reviews. I show up, I deliver, and I do not disappear after the contract ends.

Certifications

• Salesforce Health Cloud
• Salesforce Service Cloud
• Salesforce Sales Cloud
• Salesforce Marketing Cloud
• Salesforce Data Architect
• Salesforce Platform Developer II
• Salesforce Front End Developer
• Salesforce Administrator

Publications

Co-author of a peer-reviewed COVID-19 epidemiology study published in Annals of Epidemiology. The study examined epidemiological patterns during the pandemic and contributed to the body of literature on infectious disease surveillance and modeling.

Writing

These are the technical writeups from real projects. No fluff, no sponsored content, no SEO padding. Each one covers a problem I solved, the approach I took, and what I learned doing it.

• Healthcare Data Engineering with dbt: Building a Governed Metric Platform

  August 8, 2026 · Data Engineering

  How I built a 500+ model dbt data platform on Databricks for a Medicare Advantage provider. Metric registries, automated data contracts, and CI/CD for human and autonomous agent PRs.

• Autonomous Code Review in Healthcare

  August 8, 2026 · AI & Automation

  Using AI agents to review production code in healthcare environments. What works, what does not, and where the human still has to be in the loop.

• AI Voice Agents for Patient Outreach

  August 8, 2026 · AI & Automation

  Building voice AI agents that call patients for appointment reminders, care gap notifications, and follow-up surveys. TCPA compliance, call handling, and real deployment results.

• SIEM Detection for Vendor Access

  August 8, 2026 · Security

  How to detect when a vendor accesses more patient data than their contract allows. SIEM rules, anomaly detection patterns, and the alert workflows that actually catch problems.

• Migrating a Healthcare BI Platform

  August 8, 2026 · Data Engineering

  Moving from Snowflake, Tableau, and Cube to dbt, Databricks, and a governed BI layer. The migration strategy, the consolidation ledger, and the licensing savings.

• Salesforce Health Cloud Costs and Timelines

  August 8, 2026 · Salesforce

  What a Salesforce Health Cloud implementation actually costs and how long it takes. Based on real implementations, not vendor sales decks.

• What Is a Fractional CTO?

  August 8, 2026 · Leadership

  When a fractional CTO makes sense for a healthcare organization, what the role actually does day to day, and what to expect from the engagement.

• Is AI HIPAA Compliant?

  August 8, 2026 · Compliance

  The short answer is no AI tool is inherently HIPAA compliant. The long answer is about BAA coverage, data handling, and what actually keeps you out of an OCR investigation.