Location: Greater New York Area
Remote: Yes (US-based)
Willing to relocate: No
Services: Healthcare data engineering, Data platform architecture, Clinical data pipelines, Analytics engineering, AI/ML integrations, Technical discovery
About Me: I'm Karan Krishnani, an independent consultant (fractional and contract) with ~20 years of senior engineering and architecture experience, the last several focused on healthcare. I build the data platforms underneath value-based care: claims, quality measurement, risk, and the integration layer that feeds them. Right now I'm architecting a greenfield Azure + Databricks multi-ACO lakehouse. Before that: patient identity resolution at Cercle Health, claims-through-measure-calculation pipelines at Keywell, and principal architect on the quality measurement platform at Tuva Health, 80+ NCQA measures across millions of patient records. Earlier, 9 years at ThoughtWorks leading teams at VA.gov and NYU Langone.
I also do the full-stack and cloud work that sits around the data: APIs, dashboards, AI agents, infrastructure. If you're an early-stage healthtech founder still working out what your data layer should even look like, that's the conversation I enjoy most.
Two things worth ten minutes:
- Resolving provider specialty from 12 public CMS datasets with a four-signal, confidence-scored algorithm (7 min): <a href="https://www.youtube.com/watch?v=bRM_WR0yscI" rel="nofollow">https://www.youtube.com/watch?v=bRM_WR0yscI
- HIPAA-ready Snowflake warehouse, Terraform + dbt + RBAC + dynamic masking: <a href="https://github.com/karankrishnani/snowflake-healthtech-warehouse" rel="nofollow">https://github.com/karankrishnani/snowflake-healthtech-wareh...
ksk385 · · focus · HN ↗
About Me: I'm Karan Krishnani, an independent consultant (fractional and contract) with ~20 years of senior engineering and architecture experience, the last several focused on healthcare. I build the data platforms underneath value-based care: claims, quality measurement, risk, and the integration layer that feeds them. Right now I'm architecting a greenfield Azure + Databricks multi-ACO lakehouse. Before that: patient identity resolution at Cercle Health, claims-through-measure-calculation pipelines at Keywell, and principal architect on the quality measurement platform at Tuva Health, 80+ NCQA measures across millions of patient records. Earlier, 9 years at ThoughtWorks leading teams at VA.gov and NYU Langone.
I also do the full-stack and cloud work that sits around the data: APIs, dashboards, AI agents, infrastructure. If you're an early-stage healthtech founder still working out what your data layer should even look like, that's the conversation I enjoy most.
Two things worth ten minutes: - Resolving provider specialty from 12 public CMS datasets with a four-signal, confidence-scored algorithm (7 min): <a href="https://www.youtube.com/watch?v=bRM_WR0yscI" rel="nofollow">https://www.youtube.com/watch?v=bRM_WR0yscI - HIPAA-ready Snowflake warehouse, Terraform + dbt + RBAC + dynamic masking: <a href="https://github.com/karankrishnani/snowflake-healthtech-warehouse" rel="nofollow">https://github.com/karankrishnani/snowflake-healthtech-wareh...
Technologies: Data: Databricks, Spark, Snowflake, BigQuery, dbt, DuckDB, Tuva Data Model | Healthcare: HL7 v2, FHIR R4, ADT feeds, NCQA HEDIS, CMS MSSP/ACOMS | Cloud: AWS, Azure, GCP, Terraform, Docker, Vercel, Supabase | Languages: Python, SQL, JavaScript/TypeScript, Java | App: Node.js/Express, Django, GraphQL, React/Next.js | AI/ML: LangGraph, OpenAI & Claude APIs, RAG, Vector Stores, Hugging Face | Observability: Datadog, Grafana
Resume/CV: <a href="https://karankrishnani.com/resume" rel="nofollow">https://karankrishnani.com/resume LinkedIn: <a href="https://linkedin.com/in/karan-krishnani" rel="nofollow">https://linkedin.com/in/karan-krishnani Email: karan.krishnani at gmail dot com