I build the data pipelines, platforms, and applications companies run on. That means getting data out of the systems you already use, cleaning and modeling it in a warehouse your team can trust, and building the dashboards, APIs, and internal tools on top of it.

Recent work includes a Databricks lakehouse migration for American Campus Communities, a central analytics layer and Power BI reporting for RPM Living, automated ecommerce and 3PL pipelines into Snowflake for Implentio's brands, and platform work for Moody's Analytics and GE Healthcare.

Pipelines that pull from your systems on a schedule, using Airbyte, Python, or custom connectors

Warehouse and lakehouse builds on Snowflake or Databricks, organized into raw, cleaned, and modeled layers with dbt

SQL data models that give every team one trustworthy version of the numbers

Power BI dashboards and semantic models for operating and performance reporting

Migrations from on prem systems to the cloud, without disrupting the reports people rely on

Internal tools and dashboards in TypeScript, React, and Next.js

Backend services and APIs in Python and Node.js, including event driven microservices

Integrations with platforms like Salesforce, Yardi, and Anaplan

Deployment on AWS or Azure, with CI/CD so changes ship safely

A discovery call to map your systems, data, and goals

A written plan covering architecture, scope, and timeline

Regular check ins with working demos as it comes together

Documentation and a handoff so your team can run it after launch