Summary
Bhairav Valera is a Data Engineer based in the New York City area with eight years of experience building production data platforms, ETL pipelines, and ML deployment tooling across startups and national labs. He has driven measurable impact—from cutting intake overhead by 85% with an in-house patient integration platform to improving pipeline reliability and DAG performance in GCP via redesigned Airflow and Beam architectures. Comfortable across the stack, Bhairav pairs backend systems work (.NET, SQL, Terraform, GCP) with data science and ML experience, having deployed forecasting and RL models and automated model serving. He also brings a physics-trained analytical mindset, having implemented Monte Carlo and field-theory simulations during undergraduate research and presented at Stanford’s undergraduate research conference. Colleagues know him as a dependable, collaborative engineer who favors practical automation (e.g., Temporal workflows for data quality) that reduces ops toil and reveals product-facing insights.
8 years of coding experience
6 years of employment as a software developer
University of Illinois Urbana-Champaign