What does FHIR-native storage mean in practice?

We model data around FHIR resources such as Patient, Encounter, and Observation rather than forcing clinical concepts into generic tables. This preserves interoperability, simplifies mapping to EHRs, and lets downstream systems consume standards-based APIs without custom translation.

Can you build analytics without exposing raw patient identifiers?

Yes. We separate an identified operational layer from a de-identified analytics layer, applying Safe Harbor or Expert Determination methods. Analysts query aggregated, minimum-necessary datasets, while re-identification keys stay restricted to a small, audited set of roles.

How do you handle HL7 v2 feeds alongside FHIR?

Many hospital systems still emit HL7 v2 messages. We ingest those interfaces, parse and validate segments, and transform them into FHIR resources in a normalized store, so legacy feeds and modern APIs share one consistent analytics foundation.

Can you work with our existing data stack?

Yes. We build on the warehouse, cloud and BI tools you already use, such as Snowflake, BigQuery, Redshift or Databricks, and add only what is missing.

Can we start with a fixed-scope first release?

Yes. A first release usually covers one or two sources, one model and one report or dashboard, running in production with monitoring. Later sources reuse the same patterns.

How do you ensure data quality across clinical sources?

We add validation, deduplication, and terminology mapping to standards like LOINC, SNOMED, and ICD-10 during ingestion. Pipelines track lineage and flag anomalies, so downstream analytics and reporting rest on consistent, traceable, well-governed clinical data.

Product Strategy & Leadership

Data Engineering

We design and build data pipelines, warehouses and lakehouses on AWS, Google Cloud, Azure, Snowflake or Databricks, with PHI-safe patterns when the data is clinical.

15-Minute Scoping Call View Case Studies

What is data engineering?

Data engineering is building the pipelines, storage and quality checks that move data from source systems into analytics, AI and reporting you can trust. Agnotic Technologies builds it for startups and enterprises on AWS, Google Cloud, Azure, Snowflake or Databricks, with PHI-safe patterns, de-identification and BAAs when the data is clinical.

Pipelines and ingestion

Batch and streaming pipelines from databases, APIs, files and HL7 v2 or FHIR feeds, with retries and lineage.

Warehouses and lakehouses

Snowflake, BigQuery, Redshift or Databricks models designed around the questions your teams ask.

Data quality and governance

Validation, deduplication, terminology mapping and access controls, with lineage you can audit.

PHI-safe analytics

Identified and de-identified layers kept apart. HIPAA allows de-identification by expert determination or by removing 18 identifier categories (45 CFR 164.514(b)).

Real-Time Projects

How do we deliver data engineering?

Start with one source and one question, prove the pipeline in production, then add sources.

Scoping call

We pick one source and one business question worth answering first.

Data audit

Sources, quality, access, PHI and existing tools reviewed before any pipeline is built.

First pipeline

One pipeline and model in production, with tests, lineage and monitoring.

Scale

New sources and models reuse the same patterns, checks and access controls.

Operate

Monitoring, cost control and on-call support as your data and teams grow.

Who trusts us with their data?

Global businesses trust Agnotic to deliver reliable, compliant software that drives success and fosters growth.

We Are Technology-Agnostic

With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.

Wireframe & Ideation

User Experience

Voice of success

We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

“I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.”

Aaron Phelan

Founder, Benchmark

“Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective.”

John Pasmore

Founder, Latimer

“Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together.”

Kim Smith

Founder, My Lauren