Who are we?
Data Professionals
We are a team of data professionals with experience in data science, data engineering, business analytics, and product analytics. From deploying production-ready predictive models to slicing infrastructure costs, our team has honed our skills across diverse roles and projects.
- Data Engineering & Platform
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We design and build cost-effective data architecture that provides a foundation for core analytics and predictive data science. Our team is experienced with a wide variety of data ingestors, cloud warehouses, and orchestration platforms.
- Data Science, ML & AI
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We build and deploy production-ready predictive models to support a variety of business needs. Whether your business needs to improve churn prediction, revenue forecasting, or develop custom ML models, we have the expertise to bring these models to fruition.
- Business Intelligence & Analytics
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Designing and building scalable analytics is a challenge in today's fragmented data world. Our team is experienced in delivering trusted analytics to executive stakeholders and creating bespoke reporting that empowers operational teams.
How We Work With You
Our Engagement Model
We have three standard models of engagement: defined project-based work, retainers, and consultative services.
Scoped Projects
Snowpack will partner with your team to scope and plan the details of key projects. We independently deliver completed solutions - from project kickoff to final handoff - while your team stays focused on core business needs.
Embedded Analytics Team (Retainer)
Get the expertise you need without the overhead of hiring or the commitment to full-time roles.
Our team will deeply embed in your existing operating model, and can either function as a fractional data team, or enhance your existing team's analytics capabilities through technical support and expertise.
Strategic Analytics Advisory
Our experienced team can provide technology or architecture recommendations, as well as guidance on team structure and analytics strategy. Through focused engagements, we provide actionable recommendations to help you accelerate your analytical maturity without hiring a dedicated analytics leader.
Meet our team
Our team's range of experience allow us to offer a breadth of knowledge and targeted expertise that can be tapped into for challenging projects and recommendations.
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Nate Robinson
Managing Partner
Data Engineering Data Science Machine LearningA co-founder of Snowpack Data, Nate thrives in technical challenges by bridging data science with application development. A lifelong entrepreneur, he takes pride in constantly applying new learnings to the next challenge.
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Kevin Koenitzer
Managing Partner
Product Analytics GTM Analytics ManagementA co-founder of Snowpack Data, Kevin has built ML applications, databases, and led analytics teams across industries. He excels at co-creating data strategies with his clients, providing product vision and clear direction.
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David Olodort
Partner
Analytics Engineering GTM Analytics ManagementDavid joined Snowpack in late 2024 to grow Snowpack's European offerings. He has years of experience running global analytics and data engineering organizations, turning empathetic leadership into coordinated team outcomes.
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Ryan Burton
Member of the Technical Staff
Data Engineering Data Science Business IntelligenceRyan joined Snowpack as a technical staff member in July 2025. He excels in generating data-driven approaches to solve ambiguous business problems through his expertise in ETL pipelines, analytical dashboarding, and data orchestration.
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Jonathan Arellano
Member of the Technical Staff
Data Engineering Platform Engineering ML Ops EngineeringJonathan is a dynamic engineer with a passion for building data systems. His experience spans the full stack from software engineering to data engineering with a focus on platform engineering and ML ops. He loves building tools and systems that help others build better products and services.
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James Garbier
Member of the Technical Staff
Analytics Engineering Data Engineering Business IntelligenceJames joined Snowpack as a technical staff member in December 2025. He has a deep background in analytics and data engineering with both management and technical expertise. He excels in transforming ambiguous business problems into clear, data-driven solutions.