
Senior Data Quality Engineer with 8+ years of experience across healthcare and banking domains, specializing in cloud-based data platforms, data engineering validation, and analytics readiness. experience in supporting enterprise-scale data pipelines in highly regulated environments, ensuring accuracy, completeness, and trustworthiness of critical business data Hands-on experience with Azure Data Factory, Databricks, ADLS Gen2, Snowflake, SQL, Python, and PySpark, with strong domain expertise in healthcare data (claims, enrollment, provider, member, EDI 834/837), and financial/banking data (data migrations, reconciliations, reporting, and regulatory datasets).). Known for partnering closely with data engineers, product owners, and business stakeholders to identify data issues early, prevent production defects, and deliver reliable, analytics-ready data for decision-making.
Environment: Azure Data Factory, Azure Databricks, ADLS Gen2, Azure SQL, Snowflake, Synapse, Informatica, dbt, Airflow, Python, PySpark, SQL, Postman, REST APIs, Azure DevOps, Git, Jenkins, Control-M, Power BI, Tableau, HL7, EDI 834/837.
Environment: SQL Server, Informatica, HTML, CSS, JavaScript, JAWS, RTC, Visual Studio, Windows, WCAG 2.0.
Environment: Informatica PowerCenter, SQL Server, Teradata, Oracle, MicroStrategy, UNIX, HP ALM
Environment: SQL, Oracle, EDI 834, HIPAA, Quality Center, JIRA
Cloud and data platforms
Data engineering and analytics
Data quality and governance
Programming and querying
Orchestration, DevOps, and analytics tools