Three things we bring to the table
Healthcare depth
Senior, certified delivery
Cost-Disciplined Builds
What we build
Implementations
Healthcare lakehouse implementation
Delta Lake and medallion architecture designed around clinical, claims, and device data from the start, not retrofitted onto a warehouse.
Integrations
EHR and claims interoperability.
FHIR, HL7v2, X12, NCPDP, and CDA integration work, including Epic, Healthie, Athena, and NextGen data unification.
Governance
HIPAA and HITRUST-ready Databricks builds.
Unity Catalog governance, access control, and audit-ready lineage built into the pipeline
AI
Healthcare AI and ML to production.
MLOps, model governance, and agentic AI workflows
Staff augmentation
Databricks staff augmentation and embedded pods.
Senior, healthcare-fluent Databricks engineers who join your stack and your standups
ETL
Legacy data migration and modernization.
Moving off a warehouse-first setup or an underused Databricks investment into a governed lakehouse built for regulated workloads.
How an engagement actually works
A short, structured read of where your data platform stands: whether you're standing Databricks up, fixing what's fragile, or scaling a setup that already works. Delivered as a written assessment you can act on.
A concrete plan tied to a first milestone: a migrated pipeline, a live FHIR integration, or a model moved out of pilot. No open-ended statement of work.
Delivery flexes to how your team is set up. If you already have engineers and an architecture, we embed a senior pod in your stack, repo, and standups, and you keep architectural ownership. If you're starting from zero, we run the build end to end as a product team and hand back a documented architecture. Senior engineers ship against the plan in scoped increments either way.
Unity Catalog, lineage, and access control are documented and handed to your team, not left as tribal knowledge held by the vendor.
Some engagements continue as a standing pod. Others end with a clean handoff and a team that no longer needs us in the room.
Choosing a Databricks partner in the healthcare industry
The Databricks partner directory is led by firms that win on headcount, not healthcare depth: Accenture, Deloitte, Persistent, Perficient. Few of them have shipped a HIPAA-compliant pipeline or debugged an HL7 feed
What you need to evaluate
Healthcare and compliance fluency
Platform advice
Engagement model
FHIR/HL7 integration depth
Generalist SI engagement
Learned on your project, billed to your timeline
Incentivized to recommend the platform they sell
Fixed-scope statement of work, change orders for anything unplanned
General data engineering background, healthcare context built during the project
Light-it healthcare-native service
PHI, claims, and clinical terminologies as existing practice; HIPAA and SOC 2 built in from day one
Platform-honest: we also run Databricks' and Snowflake's healthcare implementations, so the recommendation is based on your data, not our backlog
Flexible based on each of our clients’ needs.
FHIR, HL7, X12, and NCPDP as default fluency
Where this shows up in practice
Healthcare AI/ML that reaches production
The gap between a promising pilot and a model running in a live clinical or payer workflow is where most healthcare AI projects stall. We build the MLOps, monitoring, and governance layer.
Real-world evidence for life sciences
Pharma and medtech teams building RWE studies need drug and device lifecycle data that holds up to regulatory scrutiny and moves fast on a launch timeline.
Patient lifecycle mapping
For multi-site provider groups, a patient's journey through raw clinical, claims, and device data needs to be traceable end to end, through to whatever metric ends up in a board deck.
Governance via Unity Catalog
For platform and infrastructure companies, lineage, access control, and audit-ready data are not optional. They are what a payer's security review and a HIPAA audit both ask for first.
Frequently Asked Questions
Learn everything about us and the way we work
Databricks healthcare consulting is specialized implementation work that turns clinical, claims, and device data into a governed Databricks lakehouse built for HIPAA and payer security review. It covers medallion architecture, Unity Catalog governance, FHIR and HL7 integration, and moving healthcare AI models from pilot into production.
It typically means restructuring clinical, claims, or device data into a Delta Lake medallion architecture, with Unity Catalog governing access and lineage, so the data is usable for analytics and AI while staying audit-ready for HIPAA and payer security reviews.
Databricks supports HIPAA-compliant configurations, but compliance depends on how the platform is implemented: encryption, access controls, audit logging, and a signed BAA all have to be configured correctly. A HIPAA-ready Databricks environment is a build decision, not a default setting.
It depends on data volume and existing pipeline complexity, but most engagements are scoped in 30/60 day increments, with the first migrated pipeline or integration typically live inside the first 60 days.
Both support HIPAA-compliant, governed healthcare data platforms. The right choice depends on your existing stack, your team's AI/ML roadmap, and your consumption model. A platform-honest partner should be able to make that recommendation before proposing either migration.
Cost depends on scope: a lakehouse health check, a single FHIR integration, and a full data warehouse-to-lakehouse migration are different engagements with different price points. Most clients start with a scoped 30/60/90-day plan rather than an open-ended retainer.
Yes. Light-it is an official Databricks partner in the Brickbuilder Partner Network. For a HIPAA-grade data project, partner status is table stakes, so the question that actually protects your timeline is who's building and whether they understand healthcare. That's where our depth is. We've spent years building software for regulated healthcare environments, and we run HIPAA-compliant AI products in production today, including CompliantChatGPT and ClinicFrame. Databricks is the platform we bring that experience to. Hold any partner to that same test: not the badge, but the healthcare and compliance track record behind it.
