Bharathi Naramala

• Designed and developed end-to-end ETL/ELT pipelines in Azure Data Factory, integrating on-prem, cloud, and third-party sources.
• Built scalable data processing workflows using Azure Databricks and PySpark, optimizing transformations, and improving performance by 30%.
• Implemented Delta Lake for ACID-compliant data storage, enabling incremental data ingestion, and reliable analytics.
• Migrated legacy SQL workflows to Azure Data Factory and DataBricks, reducing batch runtime by 40%.
• Developed star-schema and snowflake-schema data models for analytics in Azure Synapse.
• Automated data quality checks using PySpark, reducing data errors by 25%.
• Integrated pipelines with Azure Key Vault for secure credential management.
• Collaborated with BI teams to enable Power BI dashboards using curated data models.

Key Achievements:

• Reduced pipeline failures by 50% by implementing monitoring and retry logic in ADF.
• Optimized Spark jobs save 20% on compute costs.