Samuel Chen
@samuelchen2
Senior data engineer building low-latency lakehouses and real-time streaming platforms.
United StatesWhat I'm looking for
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
Senior Data Engineer
Fanatics
Jul 2022 - Present (3 years 11 months)
Architected an event-driven loyalty lakehouse (Kafka/Kinesis → PySpark/dbt → Snowflake) and implemented a p99 eligibility service (<120 ms), reducing loyalty mart costs 35–45% and cutting reconciliation defects >60%.
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.
Delivered REST/API enhancements, PAT-based auth and stronger ACL enforcement for workspaces; added telemetry and tests that improved platform security and observability.
Education
Degrees, certifications, and relevant coursework
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
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.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
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