Elintex Health
Cloud Data Platforms

A healthcare data platform built for the next decade.

We design and run HIPAA-aligned data platforms on GCP, AWS and Azure — lakehouses, FHIR stores, real-time streams and ML feature stores — tuned for clinical research and care delivery.

Book a Discovery Call See the workflow
Capabilities

What goes into a modern healthcare platform

Lakehouse foundation

Bronze/silver/gold zones on BigQuery, Snowflake, Databricks or Redshift with governed access.

Cloud Healthcare APIs

GCP Cloud Healthcare API, AWS HealthLake and Azure Health Data Services for FHIR, DICOM and HL7.

Streaming & batch

Pub/Sub, Kinesis or Event Hubs feeding Dataflow, Spark or dbt for real-time and nightly loads.

Security & compliance

VPC-SC, CMEK, IAM least-privilege, BAAs, audit logs and HITRUST-ready controls.

FinOps & cost control

Slot management, reservations, autoscaling and tagging that keep monthly spend predictable.

Catalog & lineage

Data Catalog, Unity Catalog or Purview with column-level lineage from source to dashboard.

Workflow

From cloud zero to production platform

Step 01

Assess

2 weeks

Workload inventory, data classification, compliance gaps and target architecture — including a GCP credit / cost forecast.

Prerequisites
  • Cloud account access (GCP / AWS / Azure)
  • Current architecture & cost reports
  • Compliance scope (HIPAA, HITRUST, SOC 2)
Deliverables
  • Workload & data inventory
  • Target architecture diagram
  • Cost & GCP credit utilization plan
Tip: click any step above to inspect its plan.
Outcomes

Platforms that pay for themselves

30–50%
Lower cloud spend after FinOps tune-up
Days
Not months from request to new dataset
HIPAA
Aligned controls from day one
3 clouds
GCP, AWS and Azure expertise
GCP Partner

A note on Google Cloud

Elintex Health works closely with Google Cloud and can help eligible healthcare and research customers apply for GCP credits alongside a paved-road build on BigQuery, Cloud Healthcare API, Vertex AI, and Looker — so you launch faster with less upfront cost.

Stack

What we typically deploy

  • GCP: BigQuery, Dataflow, Cloud Healthcare API, Pub/Sub, Vertex AI, Looker
  • AWS: Redshift, Glue, Kinesis, HealthLake, SageMaker, QuickSight
  • Azure: Synapse, Data Factory, Health Data Services, ML, Power BI
  • Lakehouse: Databricks + Delta or Snowflake + dbt
  • Orchestration: Airflow, Dagster, Prefect
  • IaC: Terraform with policy-as-code (OPA / Sentinel)
  • Observability: Datadog, Cloud Monitoring, Grafana
  • Security: CMEK, VPC-SC / PrivateLink, IAM federation
FAQ

Cloud platform questions

Are you cloud-agnostic?+

Yes. We have deep expertise on GCP, AWS and Azure and recommend the right fit for your workloads, partners and procurement.

Can you help us access GCP credits?+

Where eligible, we help healthcare and research customers apply for Google Cloud credits and align them to a paved-road platform build.

How do you keep cloud bills predictable?+

We bake FinOps in from day one: tagging, budgets, slot/reservation strategy, lifecycle policies and monthly cost reviews.

Can you take over an existing platform?+

Yes. We routinely adopt, stabilize and modernize platforms built by previous teams — without a big-bang rewrite.

Free discovery call

Build a healthcare data platform you'll still love in 5 years.

Tell us your workloads — we'll come back with a reference architecture and a phased plan.

  • ✓ Senior engineer reviews your inquiry
  • ✓ Reply within 1 business day
  • ✓ US-based, HIPAA-aware
  • ✓ Scoped plan in 48 hours
Full contact form hello@elintex.health

No spam. We reply within 1 business day. HIPAA-aware, US-based team.