I’m a Data Engineer with 15+ years of experience building end-to-end data platforms across Azure, SAS, and mainframe ecosystems. I design and deliver reliable data pipelines, data modeling solutions, and automation for analytics and reporting—especially in banking and financial risk use cases like Basel, Credit Risk, IFRS 9, and regulatory reporting.
Recently, I’ve focused on MLOps and modern data engineering on Azure and Databricks: registering models with MLflow, deploying and testing them, and automating releases using Databricks Asset Bundles and Terraform. I enjoy transforming complex legacy workflows into scalable lakehouse architectures, strengthening data quality with frameworks like Great Expectations, and enabling teams with self-service model environments and governed data layers.
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