About SnowQuery
Healthcare Data Engineering & Architecture Consulting
Who We Are
SnowQuery is a healthcare-focused data engineering consultancy with over 10 years of experience building scalable data platforms for healthcare and life sciences organizations. We understand the unique challenges that come with healthcare data—from complex regulatory requirements to the critical importance of data accuracy in clinical settings.
Our expertise spans the full healthcare data ecosystem: EHR/EMR systems, claims data, genomics, SDOH, and real-world data. We've worked with organizations ranging from innovative startups to established healthcare enterprises, delivering data infrastructure that drives better patient outcomes.
We partner with healthcare organizations to build modern data infrastructure that enables operational efficiency, regulatory compliance, and data-driven decision making.
Our Mission
To enable data-driven healthcare innovation by building clear, reliable, and intelligent data infrastructure that transforms how organizations leverage their data for better patient outcomes.
Our Values
Precision
Healthcare data demands accuracy. We build systems with rigorous validation and quality controls.
Trust & Compliance
Deep knowledge of HIPAA, GDPR, and healthcare data privacy ensures your data is protected.
Scalability
Architectures designed to grow with your organization, from startup to enterprise scale.
Knowledge Transfer
We don't just build—we document, train, and empower your team to maintain and extend solutions.
Why SnowQuery
Years in Healthcare Data, Engineering & Architecture
Healthcare Organizations Served
HIPAA Compliant Solutions
Insights
Thoughts on data engineering, healthcare data, AI/ML architecture, and modern data platforms.
Data Contracts
How data contracts are reshaping data engineering practices as comprehensive agreements between data producers and consumers.
Navigating Snowflake: Addressing Common Pitfalls
Addressing misconceptions about Snowflake and how to properly utilize resource management and query optimization.
Running Mistral 7B Locally with Ollama
Deploying Mistral 7B locally using Ollama for privacy-focused document analysis.
Emerging Architecture and Stack for LLM Apps
Examining architectural approaches for building applications leveraging Large Language Models.
The Rising Need for Vector Databases
Why vector databases have become essential for managing AI-generated embeddings and semantic search.
Data Management in AI-Driven Drug Discovery
Critical success factors for applying AI in pharmaceutical research, focusing on data quality and standardization.