At CreditSights, a Fitch Solutions company, I build distributed PySpark pipelines on Amazon EMR that process approximately 200 GB of fixed-income market data daily for quantitative credit models used by 50+ institutional investment firms.
I've reduced infrastructure costs by 30%, cut BAML Quant Engine execution time by 45%, and improved Strategy Tools response time by over 50% through Spark optimization, pipeline redesign, and an ECS-to-EKS migration. I also maintain 10+ production Airflow DAGs for AWS Glue workflows and support 99% production uptime.
I work across Kafka, Apache Iceberg, AWS, Terraform, ArgoCD, Docker, and Azure DevOps CI/CD, bringing quantitative finance and business analytics context to cloud-native data platforms.
