At Amazon, I architect and maintain data infrastructure for machine learning workflows, supporting both real-time and batch processing. I designed a feature store that centralizes feature access across teams and helps data scientists iterate on predictive models.
I also orchestrate data workflows with Apache Airflow and tune Apache Spark applications to improve pipeline reliability and processing performance. My work includes predictive models for ad tech systems, monitoring and alerting, and data quality practices.
Previously, at Magna Seating of America, Inc., I worked on an ML platform and feature store, using AWS, Kubernetes, and Apache Kafka to support data processing and streaming. At Walmart, I assisted with ETL integration and contributed to database construction; I also mentor aspiring data engineers through hands-on workshops and practical projects.
