Sr. Data Engineer at WellSky

Designed and implemented scalable, end-to-end data pipelines in GCP (BigQuery, Dataform, DBT) and Snowflake to support healthcare analytics and reporting. Built and automated data ingestion workflows using Fivetran and HVR to extract data from multiple sources into Snowflake, ensuring schema consistency and high performance. Applied RBAC policies in Snowflake to manage secure user access; created and configured Reader Accounts, MFA, and whitelisted client IPs as per request. Shared personalized Snowflake databases with clients through service account private keys, ensuring HIPAA compliance and data security. Automated data transformations and refresh schedules with Dataform, DBT, and parameterized SQL, improving efficiency and reducing manual effort by 30%. Led data quality initiatives, developing unit tests, anomaly detection, and validation frameworks to ensure accurate and trustworthy clinical data. Established data quality standards, governance processes, and monitoring across the

Senior Quality Analyst at ObjectWin

Developed and executed robust ETL validation processes in Snowflake using advanced SQL scripting, ensuring data accuracy across fact and dimension tables. Designed and implemented generic test frameworks for custom test cases and seed-based validations in DBT, improving model reliability and maintainability. Automated DBT model validations using seed files and integrated DBT documentation to support transparency and traceability. Created and maintained a DBT data dictionary tailored for end-user consumption to enhance data discoverability and usability. Compared Tableau-generated reports against Snowflake fact and dimension tables using SQL scripts to validate data consistency and accuracy across reporting layers. Collaborated with analytics and data engineering teams to align validation logic with business rules and reporting requirements. Conducted root cause analysis for data quality issues and implemented corrective measures to improve pipeline robustness. Created reusable SQL temp

Test Analyst at Infosys

Conducted end-to-end ETL testing to validate data extraction, transformation, and loading processes for data integrity and accuracy. Designed and executed SQL-based test cases to ensure completeness and consistency across data warehouse tables. Developed test plans and scenarios aligned with business and technical requirements. Performed regression, integration, and UAT testing to ensure system reliability and compliance with functional specs. Identified and resolved data quality issues such as duplicates and transformation errors. Collaborated with data engineers, analysts, and QA teams to align validation logic with business rules and deliverables. Applied knowledge of data warehousing principles (star schema, dimensional modeling) to enhance testing efficiency.