Senior Analytics Engineer · New York
I build the data infrastructure that makes organizations smarter. Specializing in dbt-centric warehouse architecture, event pipelines, and analytics ecosystems that business teams actually trust.
Fintech · Housing Insurance · 2022–Present
Architected TheGuarantors' first centralized analytics platform from the ground up — moving from fragmented spreadsheets to a trusted, self-service data ecosystem.
Consumer Health · SaaS · 2020–2022
Rebuilt WayBetter's entire analytics layer — from fragmented Google Data Studio reports to a Looker-based self-service platform powered by production dbt models.
Fintech · Housing Insurance · Forecasting
Built a full-year SARIMA forecast of deals submitted at TheGuarantors — selecting the winning model via walk-forward backtesting and adjusting for housing market macro factors.
| Core Stack | dbt (Core & Cloud), SQL, Python, BigQuery, Databricks, Snowflake, Redshift, AWS S3 |
| Modeling | Kimball Dimensional Modeling, star schema design, data vault concepts, fact/dimension architecture, slowly changing dimensions |
| Pipelines | ELT/ETL, CDC pipelines, event sessionization, anonymous→user ID mapping, Airflow, Fivetran |
| Quality & Observability | dbt tests, custom anomaly detection, data freshness SLAs, lineage tracking, Atlan catalog, dbt docs |
| BI & Dashboards | Looker (LookML), Power BI, Sigma, Tableau, Google Data Studio |
| Practices | Git/CI-CD for analytics, semantic layer design, data governance, stakeholder enablement, A/B testing |
I'm a Senior Analytics Engineer based in New York with 15+ years of experience building data systems that organizations actually rely on. My work sits at the intersection of data engineering and business intelligence — I design the models, pipelines, and governance layers that turn raw data into trustworthy decisions.
My career spans fintech, consumer health, telecom, and humanitarian work. That breadth means I approach data problems from a business-first perspective — I don't build infrastructure for its own sake, I build it because a product team needs to move faster, or because leadership needs numbers they can trust in a board meeting.
I've owned the full stack: event ingestion and sessionization pipelines, dbt transformation layers, dimensional data marts, anomaly detection, and the Looker/Power BI semantic layers that sit on top. I write production code, mentor analysts, and document everything — because a platform that only I understand isn't a platform.