Connor Waldman

I’m a senior software engineer with 7+ years of experience building data-intensive applications and pipelines across healthcare research and enterprise SaaS. I focus on end-to-end delivery—from data modeling and pipeline orchestration to backend APIs and frontend interfaces.

At Manifold Inc., I led design and implementation of a large-scale messaging service enabling email and SMS campaigns to up to 300K study participants, combining strong API design with data models and supporting pipelines. I also implemented granular, role-based access control across a multi-tenant platform serving 6 studies across 5 research institutions, and managed/optimized 5 production data pipelines aligned to OMOP clinical data standards to deliver near-real-time metrics on a 5-minute refresh cadence.

Earlier, I built ML data infrastructure and self-service tooling through consulting, including robust ETL/ELT pipelines with Apache Airflow and a scalable ML Feature Store on Snowflake with Feast. I’ve also developed backend and data systems such as a Kubernetes-based REST API for Trino/PrestoDB datasource configuration, plus a Rust geoprocessing engine and event-driven ingestion workflows—always with an emphasis on data governance, schema design, and CI/CD.