Jerry Su

I’m a Senior Data Engineer with extensive experience designing and building scalable data platforms, ETL/ELT pipelines, and real-time data processing systems. I focus on modern data architectures—data lakes, lakehouse patterns, and cloud data warehouses—delivering reliable analytics foundations for business and machine learning use cases.

At CVS Health, I built end-to-end healthcare claims and pharmacy analytics pipelines using Python, SQL, Airflow, AWS Glue, and Databricks. I implemented a Medallion architecture with Delta Lake on Amazon S3, optimized Spark workloads for efficiency, and developed Snowflake warehouse models with dbt to reduce errors and accelerate deployments—while enabling near real-time ingestion via Kinesis and improving data quality with Great Expectations.

Previously at Stripe and Amazon, I engineered low-latency event streaming with Apache Kafka and Spark Structured Streaming for fraud detection and risk scoring, and delivered batch + streaming financial analytics pipelines. I also built metadata-driven reporting in Redshift, automated data quality across 100+ datasets, and partnered with cross-functional teams to turn complex data into trustworthy, actionable insights.