Data · Software · Solutions
Data analyst and engineer building pipelines, reports and operational apps
Building the full path from raw data to working product: data workflows that turn scattered sources into trusted datasets, dashboards that keep teams informed, and applications built around the people doing the work. Background in software engineering, technical support and team leadership, with a proven ability to explain complex systems in plain terms.
Location: New York, NY
01Engineer
ETL pipelines that turn raw data into reliable, modeled datasets, then the analysis and reporting that turn those datasets into decisions.
02Develop
Web and mobile apps, APIs and internal tools built on that data, from operational dashboards to cross-platform apps.
03Solve
End-to-end systems that start with the business problem and finish with something people rely on every day.
01
Data pipelines and operational applications built in Palantir Foundry during an FDE training program. Raw datasets are cleaned and joined, mapped to Ontology object types, and put to work in apps for use cases like ED census tracking and shipment consolidation.
02
A cross-platform car rental app for iOS, Android and web, built with Expo Router on a Supabase PostgreSQL backend. A custom admin dashboard in the same app handles inventory, reservations and ID verification.
03
A Node.js server that authenticates sellers through Square OAuth, creates hosted payment links, and turns each link into a scannable QR code with the OpenQR API.