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Samuel Chen

@samuelchen2

Senior data engineer building low-latency lakehouses and real-time streaming platforms.

United States
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What I'm looking for

I seek roles building scalable, event-driven data platforms focused on low-latency personalization, strong governance, observability, and cost-efficient operations.

I am a senior data engineer specializing in low-latency, cost-efficient lakehouses and streaming platforms that deliver real-time personalization and operational reliability. I design and implement event-driven architectures using PySpark, Snowflake/Databricks, Kafka, and Airflow on AWS and Azure, and drive governance, observability, and FinOps improvements.

My work has delivered measurable outcomes including sub-120ms SLOs for eligibility services, 35–45% warehouse cost reductions, >60% fewer reconciliation defects, and production platforms that supported large-scale public-health and retail initiatives. I focus on idempotent streaming, deterministic+probabilistic identity stitching, SCD2 ledger models, data quality SLAs (Great Expectations), lineage, and repeatable CI/CD for data workloads.

Experience

Work history, roles, and key accomplishments

CH

Data Engineer

CVS Health

Jan 2018 - Jun 2022 (4 years 5 months)

Designed PySpark/ADF Delta Lakehouse pipelines, built tokenized PII domains and row-level security, and delivered analytics latency improvements from weeks to hours enabling A/B outreach that drove ~1.6% adherence lift.

Education

Degrees, certifications, and relevant coursework

University of Washington logoUW

University of Washington

Master of Science, Computer Science

2015 - 2017

Completed a Master's degree in Computer Science focusing on advanced data systems and engineering practices.

University of Washington logoUW

University of Washington

Bachelor of Science, Mathematics and Computer Science

2011 - 2015

Completed a Bachelor's degree combining Mathematics and Computer Science with coursework supporting data engineering foundations.

Tech stack

Software and tools used professionally

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