Open to opportunities

GARY Chen

@garychen

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Senior data engineer building HIPAA-ready, scalable pipelines for analytics and personalization.

United States

Message

What I'm looking for

I’m looking to build trusted, privacy-aware data platforms—streaming and batch pipelines, strong observability, and governed analytics—so product and ML teams can move faster with reliable, self-serve insights and measurable performance gains.

I’m a Senior Data Engineer spearheading data infrastructure that powers MedMatch and a proprietary EMR platform, enabling personalized care recommendations, provider workflows, and analytics across 2.5M+ subscribers.

I design governed ELT frameworks and dimensional models that standardize transformations across healthcare, operational, and financial domains, and I deliver ML-ready feature pipelines for personalization initiatives using millions of de-identified healthcare records.

I also build privacy-centric architectures with lineage tracking, audit logging, de-identification workflows, and role-based access controls for HIPAA-sensitive environments—while improving reliability, query performance, and self-service adoption through automated testing, observability, data quality monitoring, and incremental processing.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Hims & Hers

Jan 2022 - Present (4 years 6 months)

Spearheaded data infrastructure supporting MedMatch and the proprietary EMR platform, enabling personalized care recommendations and analytics across 2.5M+ subscribers. Designed governed ELT and ML-ready feature pipelines with HIPAA-centric architecture, improving query performance by 35%+ and reducing data incidents by ~30%.

Kafka Apache Airflow Apache Spark Snowflake AWS Kubernetes ELT

Data Engineer

Instacart

Jun 2017 - Dec 2021 (4 years 6 months)

Engineered the Snowgoose event platform and built batch/streaming pipelines for marketplace analytics, experimentation, and operational reporting across 10+ PB. Modernized Airflow orchestration on AWS, integrated CDC with Kafka and Debezium to improve freshness to near real-time, and migrated transformations to dbt to enable CI/CD for 3,000+ models.

Kafka Apache Spark Apache Airflow Snowflake AWS ECS Debezium DBT SQL Optimization

Data Analyst

Snowflake

Sep 2015 - May 2017 (1 year 8 months)

Created the Customer Usage Analytics Platform in Snowflake, delivering executive dashboards and adoption insights for product growth and revenue operations across 1,000+ enterprise customers. Built reusable SQL/KPI frameworks and performed retention and cohort analyses to inform product strategy and go-to-market planning.