Senior Data Engineer

I develop enterprise-scale healthcare data platforms for pathology requests, laboratory results, diagnostic reports, patient records, and operational analytics for Laverty Pathology in Australia. I build scalable ETL/ELT pipelines and reusable ingestion frameworks using Python, SQL, PySpark, Apache Spark, Azure Data Factory, Microsoft Azure, and AWS.

I process millions of healthcare records, integrate data from SQL Server, Oracle, PostgreSQL, cloud storage, and laboratory information systems, and develop SQL queries, stored procedures, and views for analytics and reporting. I automate scheduling and monitoring, implement validation, reconciliation, and audit logging, optimize SQL and Spark workloads, support production issues, and mentor junior engineers.

I developed healthcare data integration solutions for CMS compliance, processing member, provider, claims, and adjustment data from multiple enterprise applications. I created ETL workflows, Python and SQL solutions, validation rules, scalable PySpark jobs, and automated recurring workflows with Azure Data Factory.

I also designed and supported ETL solutions for insurance policy administration, underwriting, claims processing, renewals, settlements, and reporting. I integrated SQL Server, Oracle, PostgreSQL, and MySQL data into centralized reporting platforms, improved ETL performance through SQL optimization, and supported data warehouse development and production deployments.

Master of Science in Information Systems, Mount Pleasant, Michigan.

Bachelor of Technology in Computer Science.