Open to opportunities

Bradley Oesch

@bradleyoesch

I build secure healthcare AI and real-time streaming platforms at petabyte scale.

At Google, I build clinical data and AI platforms that turn complex EHR, laboratory, and radiology records into searchable, standardized, secure workflows for care teams.

I've engineered petabyte-scale batch and streaming pipelines, standardized HL7v2 and FHIR data, and developed clinician-facing conversational AI using RAG, access-aware retrieval, source attribution, and human review. I also lead architecture and delivery across product, UX, data science, privacy, security, and regulatory stakeholders.

Previously at Netflix, I scaled Keystone real-time stream processing for trillions of daily events, improved playback buffering by 12% globally, and built resilient data infrastructure for recommendations, live experiences, and streaming quality.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Google

Jul 2019 - Present (7 years 1 month)

Built and advanced Google Health's clinical data and AI platform, powering EHR interoperability, clinician search and summarization, and HIPAA-regulated analytics at petabyte scale. Engineered batch and streaming pipelines for structured and unstructured healthcare data, and developed clinical and conversational AI experiences for clinicians.

Senior Data Engineer

Netflix

Dec 2015 - Jul 2019 (3 years 7 months)

Helped scale Netflix's Keystone real-time stream processing platform to process more than 2 trillion events and petabytes of data daily. Launched and expanded self-service ingestion and Stream Processing as a Service on Keystone, and evolved global playback telemetry infrastructure to handle more than 20 trillion daily events.