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Data Engineering

Innovative projects driven by the power of neural networks

AdvantagesDistinct benefits that define our data engineering approach

Healthcare Native

Built by engineers who understand EHR workflows, clinical terminologies, registries, imaging standards, and payer-provider data exchange. 

Compliance First

Architectures designed around HIPAA, HITRUST expectations, PHI handling, and audit-ready delivery from day one.

Cloud Specialists

Certified expertise across AWS, Azure, Google Cloud, Snowflake, Databricks, and modern lakehouse and streaming  platforms.

Mission Aligned Engineering

Delivery shaped around nonprofit missions, member value, research outcomes, and education impact — not just technical throughput.

CapabilitiesModern data capabilities for healthcare intelligence

Real-Time Integration

Stream HL7, FHIR, DICOM, claims, device, and SDoH data continuously using Kafka, Kinesis, and Azure Event Hubs. 

Data Migration
AI Enablement 

Engineer feature stores, vector indexes, and retrieval pipelines that turn governed healthcare data into production-ready AI assets.

Data Governance 

Embed data quality, lineage, and access controls into every pipeline, so PHI stays protected

ProcessOur structured process for delivering healthcare data platforms

Step 01
Discover and Assess
We map your healthcare data sources, systems, compliance needs, and analytics goals — establishing the baseline architecture, governance, and readiness priorities for modernization.
Step 02
Architect and Design
We design the target cloud lakehouse, integration patterns, and governance framework — selecting Snowflake, Databricks, Azure, AWS, or hybrid stacks aligned to your mission.
Step 03
Engineer and Build
Our engineers build the pipelines, lakehouse, governance layer, and AI-ready foundations using secure SDLC — with HIPAA-ready patterns embedded across every layer.
Step 04
Launch and Scale
We launch your production platform with monitoring, lineage, access controls, and AI-ready features — then continuously optimize, modernize, and expand capabilities alongside your team.

ExpertiseAdvanced data capabilities tailored for healthcare organizations

  • Cloud Lakehouse Architecture
  • Clinical Data Integration
  • Governance and Stewardship
  • Analytics and Reporting

What You GetHealthcare Data Engineering Deliverables: What You Walk Away With

Reference architecture in your cloud

A production lakehouse — Snowflake, Databricks, BigQuery, or Microsoft Fabric — versioned in Terraform, deployed in your tenant, ready for your team to run.

Validated clinical pipelines

HL7v2, FHIR R4, X12, DICOM, and SDoH streams built and tested against real clinical samples before we hand them off. See our HL7 / FHIR Integration patterns. 

PHI-safe governance

Access controls, audit logs, and data lineage connected to your existing IAM and SIEM — applying our HIPAA-Ready Software Development controls. 

Operational handoff

Runbooks, on-call playbooks, and recorded training sessions so your data and analytics staff operate the platform independently after launch.

EngagementFlexible engagement models designed for healthcare delivery

Starter
Free
1 Discovery Sprint
Architecture Assessment
Readiness Report
4–6 Week Timeline
Get_started
FEATURED
Optimal
Custom
Full Platform Build
End-to-End Delivery
Migration Included
Production Launch
PLAN_MOVE
Unlimited
Custom
Dedicated Engineering Squad
Continuous Modernization
24/7 Platform Support
Quarterly Roadmap Reviews
Get_started
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Richmond, VA 23294

800 100 975 20 34
+ (123) 1800-234-5678

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