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Robert Huang

@roberthuang

Senior data engineer building AWS-native HIPAA-compliant lakehouses and real-time streaming platforms to accelerate analytics.

United States

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What I'm looking for

I want to keep building AWS-native data lakehouses and real-time streaming systems—especially in regulated environments—where I can deliver measurable analytics improvements, strengthen data quality, and mentor teams using agile practices.

I’m a Senior Data Engineer with 10+ years of experience building scalable data platforms in fast-paced SaaS and healthcare environments. At Amazon OneMedical, I designed a HIPAA-compliant data lakehouse on Amazon S3, AWS Lake Formation, Apache Iceberg, and AWS Glue—cutting analytics query time by 50% while enabling a 360° patient view for care coordination.

I also delivered serverless, event-driven ingestion and CDC with AWS Lambda, FHIR R4, Amazon DMS, and EventBridge, ingesting 10M+ daily records with 99.9% uptime. I built dbt-powered transformation and quality layers (star-schema marts, anomaly detection, and Great Expectations) to reduce report times from hours to minutes and critical data delays from 2 hours to 5 minutes, and I led/mentored a team of 5 using Scrum to reduce production incidents by 30%.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Amazon OneMedical

Dec 2020 - Present (5 years 6 months)

Designed a HIPAA-compliant clinical claims data lakehouse on S3, Lake Formation, Iceberg, and Glue, cutting analytics query time by 50% and enabling a 360° patient view. Built serverless event-driven ingestion (FHIR R4, DMS/CDC, EventBridge) and dbt-based marts that reduced report generation from hours to minutes, improved analyst productivity by 40%, and lowered critical data delay alerts from 2

Amazon S3 Apache Iceberg AWS Glue DBT Amazon MSK (Kafka)Amazon Kinesis AWS Lambda Great Expectations

Software Engineer, Data

Notion

Sep 2016 - Nov 2020 (4 years 2 months)

Built an event ingestion pipeline for Notion activity logs with Fivetran and Airflow, reducing data latency from 24 hours to 15 minutes for near real-time product analytics. Migrated legacy PostgreSQL logic to Snowflake + dbt, cutting nightly refresh time by 60%, and implemented dbt/Airflow data quality checks to reduce bad data incidents by 40%.

Snowflake DBT Apache Airflow Fivetran Python SQL ELT Pipeline Design Data Quality