Swati Gundar

Designed scalable data ingestion workflows in Azure Data Factory (ADF) to automate extraction, transformation, and loading (ETL) from diverse data sources into Azure Data Lake Storage (ADLS), achieving a 25% reduction in overall data processing time. Built metadata-driven ETL pipelines using Azure Databricks and PySpark to standardize and curate datasets into Silver and Gold layers, improving throughput and reducing processing time by 25% on large workloads. Monitored and optimized data pipelines with ADF monitoring tools, proactively troubleshooting issues, ensuring 99.9% pipeline uptime, and implementing performance improvements to meet stringent SLAs. Developed interactive Power BI dashboards and semantic data models, integrated with Azure Synapse and SQL, enabling robust KPI tracking, automated refresh schedules, and secure access through Row-Level Security (RLS). Collaborated with cross-functional teams to gather data requirements and ensure data architecture, governance, and compliance align with organizational objectives.