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PySparkPythonPalantirSQLSnowflakeDatabricksAWSdbt

Description

Data Engineer with 5 years of experience, specializing in financial data infrastructure within high-stakes, regulated environments. Possesses hands-on ownership of end-to-end pipelines processing Medicare and Medicaid financial data across a large network of hospitals. Led the migration of enterprise healthcare data off Palantir onto Snowflake, resulting in a 60% reduction in report generation time and a 25% decrease in redundant datasets. Built Kafka-based CDC streaming architecture for near-real-time reporting, standardized dbt transformation logic, and implemented data quality and observability frameworks. Domain expertise includes healthcare financial reporting and regulatory compliance, with prior experience in quantum computing (Python/Qiskit, IBM) and predictive modeling for nonprofit programs (PySpark/SageMaker). Currently seeking analytics and data engineering roles focused on transforming complex, critical data into reliable insights.