Surya Phanindra Eaty

• Developed ETL process and data pipeline solution to streamline customer data management. Leveraged Azure Data Factory (ADF) to orchestrate data extraction from AWS S3 and SQL Server, and ingested it into Azure Data Lake Storage (ADLS). Utilized Databricks for data processing and populated data in Azure SQL Database. This solution enabled the extraction and analysis of over 3 million customer records
• Migrated over 1.5 TB of data from legacy systems to Azure Blob Storage, reducing retrieval time of customer data by 15%.
• Automated monthly data purge processes through Azure Data Lake and Azure Data Factory, resulting in decreased storage costs of 25%

• Assisted data scientists and analysts in developing ETL pipelines that provide data insights and support data-driven decision making
• Developed and maintained stored procedures, views, and functions in SQL server to optimize data extract, transform and load (ETL) processes
• Authored SQL scripts for data manipulation, resolving backend data issues and ensuring data accuracy.

• Developed a comprehensive Standard Operating Procedure (SOP) with cross-functional teams as part of a pilot project to detect fraudulent messages from buyers based on historical patterns.
• Developed a classification model to detect abusive behavior of vendor and queried customer databases to detect fraud resulting in reduced bad debt from fraudulent customers

GPA: 7.75

Percentage : 93.4%

Percentage : 81%