At Softonoma, I lead end-to-end data engineering architecture for internal products and client platforms, processing 5+ TB of data daily through Python, SQL, Spark, Airflow, and Kafka pipelines. I've improved cloud warehouse query performance by 45–60%, reduced pipeline failures by 30%+, and lowered processing costs by 25–35%.
Previously, I built secure banking pipelines at Fifth Third Bank and healthcare data platforms at Optum, delivering reliable datasets for risk analytics, fraud detection, compliance reporting, dashboards, and ML workflows. I work across AWS, GCP, Azure, Databricks, Snowflake, BigQuery, and Redshift to turn complex data into analytics-ready products.
