All of my long-form thoughts on data engineering, analytics leadership, and real-world machine learning applications—collected in chronological order.
I led a full-stack transformation of our data science workflows—from real-time Spark pipelines to predictive ML models for patient risk and fraud detection. We reduced ETL times by 50%, automated clinical NLP, and enabled operational decisions through Power BI dashboards.
I built cloud-native streaming systems across AWS and GCP to predict flight delays, optimize routes, and enable personalized customer offers. With Spark, TensorFlow, and SageMaker, we modernized how data drove flight ops, customer experience, and pricing strategy.
I transformed Western Union’s legacy ETL into a real-time, streaming data platform powered by Kafka, Spark, and Flink—enabling rapid fraud detection, global AML compliance, and dynamic analytics for 1,500+ stakeholders, while ensuring high-fidelity processing of over 200 million transactions each month.