At Kaizen Gaming, I lead four analytics engineers supporting Accounts & Payments, compliance, fraud detection, and finance. Our work includes approximately 150 dbt models on Databricks.
I established data contracts, continuous integration standards, and on-call playbooks, reducing critical pipeline incidents by 30% year over year. I also led a migration from legacy notebooks to a modular dbt project and authored an analytics engineering career framework adopted across the data organization.
As a Senior Analytics Engineer at Kaizen Gaming, I refactored 22 core Databricks models, reducing compute spend by 25% and P95 BI query latency from 12 seconds to 3 seconds. I delivered Kafka-based and batch ingestion processing approximately 50 million events daily, reducing data availability lag from approximately 30 minutes to 2 minutes.
Earlier, I migrated anti-money laundering detection pipelines from SQL Server to Databricks and Delta Lake, reducing runtime from six hours to 70 minutes across six regulated markets. At Epsilon Net, I developed the SQL analytics layer for an enterprise HR product and delivered a Power BI learning-analytics platform for a major airport operator.
