Satyavani Ch N G

• Designed and implemented Azure Data Factory pipelines to streamline data integration processes.
• Automated repetitive processes using Python, increasing operational efficiency by 30%.
• Built and optimized scalable data solutions using Azure Databricks and Snowflake.
• Managed daily operations of data pipelines, ensuring zero SLA breaches and high-quality delivery.

Kroger H&W Project:

• Created ETL pipelines and data models for healthcare data transformation.
• Collaborated with cross-functional teams to ensure data accuracy and consistency.
• Achieved a 25% reduction in processing time through performance tuning.

Enbridge DIMS Project:

• Developed and monitored Azure Data Factory pipelines for daily data ingestion.
• Handled ticket resolution and system monitoring using ServiceNow, maintaining 99.9% uptime.
• Improved data reliability by designing reusable pipeline templates.
• Led the end-to-end migration of healthcare operational and financial data from SAP ECC to Azure Data Lake and Synapse Analytics, enabling cross-system analytics by integrating SAP ERP with EHR and claims data sources.
• Designed and implemented secure, HIPAA-compliant data pipelines using Azure Data Factory and SAP OData/BAPI connectors, facilitating real-time ingestion of patient billing, supply chain, and HR data for unified reporting.
• Streamlined healthcare data warehousing by architecting a centralized Azure platform, improving clinical and operational insights while reducing manual data reconciliation efforts across SAP and non-SAP systems by 60%.

Unilever Regulatory Reporting:

• Designed and tested Azure Data Factory workflows for financial reporting.
• Reduced defects by 20% through robust testing methodologies and collaboration with QA teams.
• Delivered operational and regulatory reports to key stakeholders on time.

• Migrated over 200 reports from legacy systems, achieving a 95% defect-free transition.
• Designed performance-optimized SQL queries and dashboards in Tableau, driving data-driven decisions.
• Standardized data models across platforms, reducing redundancy and enhancing reporting accuracy.

Altruista to SMART Migration Project:

• Streamlined migration of over 200 reports by creating efficient SQL mapping documents.
• Improved testing efficiency by introducing reusable SQL templates.
• Delivered on-time solutions while ensuring 100% compliance with data integrity standards.

Community and State Operational/Regulatory BI Solutions:

• Consolidated legacy platform data into a single, unified model for Medicaid/Medicare reporting.
• Developed custom Crystal Reports for 24 state markets, enhancing regulatory compliance.
• Conducted end-to-end validation to ensure accuracy in operational insights.