About
I lead engineering organizations responsible for large-scale data ingestion, search, and platform services supporting national consumer experiences and franchise operations. My teams operate Kubernetes environments, streaming ecosystems, and lakehouse analytics platforms with accountability for availability, security, and financial performance.
Over the past several years I've helped scale organizations and responsibilities significantly, growing teams, expanding service ownership, and maturing platforms from founder-led implementations into durable, repeatable operating models. I've also worked to modernize legacy lake and warehouse patterns, helping define target-state architectures that better support analytics and emerging ML use cases while improving reliability and cost predictability.
I focus on reducing operational risk, simplifying technology landscapes, and ensuring investment decisions translate into reliable, cost-effective services for the business. I regularly partner with peer leaders to drive architectural alignment, formal review practices, and coordinated change management across departments.
I'm passionate about building strong leaders, improving engineering leverage, and creating platforms that teams can depend on.
Experience
Director of Data Engineering
RE/MAX · Full-time
Led a 25-person data engineering organization (grew from 5) with end-to-end ownership of enterprise data and platform services supporting national consumer and franchise systems. Accountable for a ~$2M annual cloud infrastructure portfolio.
Oversaw MLS ingestion (400–500 near-real-time pipelines), search and autocomplete platforms, geocoding, APIs and databases powering web experiences, data lake architecture, third-party syndication streams, MLS compliance, and Tier 3 data support.
Key impact:
- Reduced annual infrastructure and tooling spend by ~$850K through Elasticsearch optimization and observability platform consolidation.
- Streamlined pipeline footprint from ~500 to ~400 through architectural rationalization and redundancy reduction.
- Modernized data lake and warehouse patterns to support analytics and emerging ML use cases.
- Launched AI-driven initiatives including behavioral analysis using RUM data, metadata-based enrichment, image recognition workflows, and enterprise AI governance sponsorship.
Director of Client Services
SSB
Led technical consulting engagements across healthcare and financial services, managing a team of 5 engineers and overseeing multi-system data integration and application modernization initiatives. Owned executive client relationships, delivery execution, and solution architecture across engagements valued up to $300K.
- Directed a healthcare data consolidation initiative integrating HL7 clinical codes and patient feedback data from eight disparate systems into unified operational and executive dashboards, reducing provider and nursing reporting effort by ~50%.
- Led modernization of a mid-sized bank's loan approval workflow by integrating core banking (Jack Henry) and line-of-business systems into a custom application layer, reducing administrative processing time by ~50% and decreasing errors and rework by ~60%.
- Served as primary executive liaison for client stakeholders, aligning architecture decisions with operational efficiency, compliance considerations, and business outcomes.
Education
University of Wisconsin-Madison