Vinay Boddu

• Designed & built end-to-end Azure-based data pipelines for the Finance domain, improving processing efficiency by 40%
• Developed & optimized ETL workflows using Azure Data Factory, Databricks, PySpark, and Airflow
• Integrated SAP, Blob Storage, SFTP, and other sources into a unified data pipeline
• Improved data integration by designing efficient ETL processes.
• Developed automated data pipelines, enhancing data accessibility and quality.

Project – AARO (Finance Domain):

• Designed and implemented robust ETL pipelines using ADF, Databricks, and Airflow, ensuring efficient financial data processing
• Led data validation, performance tuning, and pipeline monitoring.
• Validated data quality, using automated testing frameworks to identify anomalies.
• Implemented CI/CD pipelines with Azure DevOps, streamlining deployment cycles
• Automated data workflows to minimize manual errors and increase productivity.

• Built batch data pipelines for the Healthcare domain using Google Cloud (BigQuery, Cloud Functions, Dataflow and Cloud Scheduler)
• Automated data ingestion & transformation, reducing manual intervention by 70%
• Improved SQL query performance, reducing execution time by 50%

Project – Cardinal Health (Healthcare) File Ingestion Pipelines:

• Developed an automated file ingestion framework using Google Cloud Storage & Cloud Functions, improving data efficiency
• Managed error handling, pipeline monitoring, and debugging failures, reducing data failures by 60%