Alex Johnson

I’m a Senior ETL Developer with roughly 10 years of experience delivering scalable, high-quality data pipelines, grounded in data quality and test automation. I build data platforms that are efficient and “reliable by design,” translating complex business needs into impactful outcomes.

In my current role at Kaiser Permanente, I led enterprise data pipelines supporting healthcare analytics and reporting. I built multi-source ingestion frameworks with Apache Airflow, resolved data latency by redesigning scheduling and dependency-based orchestration, and optimized Amazon Redshift models for clinical and operational BI reporting.

Previously, I developed Python-based ETL pipelines that processed large-scale healthcare data into AWS S3 and Redshift for reporting and analytics. I handled schema drift and upstream inconsistencies using dynamic schema validation and transformation logic, and I implemented in-pipeline validation to maintain accuracy for clinical and operational datasets.

Earlier at Carvana, I built scalable Apache Spark pipelines for streaming and batch analytics and managed Snowflake warehouse support for financial and operational reporting. I also developed automated data quality frameworks, automated S3-based ingestion/reporting workflows, and improved performance by optimizing Spark partitioning and join strategies.