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Taylor Yang

@tayloryang

Senior Data Engineer specializing in Snowflake/dbt pipelines, performance optimization, and secure enterprise data platforms.

Taiwan

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What I'm looking for

I’m looking for a role where I can architect secure, high-performance data platforms—migrating and scaling pipelines with Snowflake, dbt, and AWS—while partnering globally to deliver trusted BI insights and reduce operating costs.

I’m a senior data engineer with 6 years of experience architecting and scaling enterprise data infrastructure. I’ve built and modernized mission-critical pipelines that enable business-wide decision-making, particularly in Big Pharma.

I’ve migrated legacy ETL workloads from mostly AWS services to Snowflake and Airflow, improving orchestration reliability and data accessibility. I focus on performance and cost optimization, including speeding up AWS Fargate dbt task processing by 30% using dbt core capabilities.

I also lead robust data architecture and governance—implementing Medallion (Bronze/Silver/Gold) with dbt and Snowflake to standardize data quality. To raise accuracy for high-stakes workflows, I architected a Human-in-the-Loop validation framework (Python/Airflow) achieving 99%+ accuracy, alongside centralized secret management to strengthen security across automated runs.

Experience

Work history, roles, and key accomplishments

Data Engineer

Redica Systems

Mar 2020 - Feb 2026 (5 years 11 months)

Migrated a legacy ETL pipeline from AWS ECS/SQS/EventBridge/RDS/DynamoDB to a Snowflake + Airflow stack, improving orchestration reliability and data accessibility. Optimized dbt task processing on AWS Fargate by 30%, implemented Medallion (Bronze/Silver/Gold) data architecture, and built a Human-in-the-Loop validation framework achieving 99%+ accuracy for high-stakes labeling.

Snowflake DBT Apache Airflow Python SQL Medallion Data Architecture Pyspark Selenium