Radha Pindi
@Radha
Azure Data Engineer at Capgemini Technologies
Hyderabad
Radha Pindi is a Certified Azure Data Engineer with 3.5 years of experience in building and optimizing data pipelines using Azure Data Factory, Azure Databricks, and PySpark. She specializes in designing scalable ETL workflows, migrating on-premises data to Azure cloud, and implementing secure, high-performance data solutions. Radha has a proven track record of reducing processing times by 40% and improving data retrieval efficiency by 50%, while maintaining a strong focus on data quality, governance, and security in enterprise environments.
Experience
Azure Data Engineer
Capgemini Technologies
Designed and deployed cloud-based ETL pipelines using Azure Data Factory & Databricks. Migrated large on-prem datasets to Azure using Databricks (SQL & Spark SQL), reducing manual load effort by 70%. Optimized pipeline performance with partitioning, caching, and persistence, achieving a 40% reduction in processing time. Engineered scalable PySpark workloads in Azure Databricks to process high-volume enterprise datasets, boosting throughput by 35%. Built secure storage frameworks using ADLS Gen2, Blob Storage, and Azure SQL. Implemented CI/CD pipelines with Git and scheduled data pipelines via Control-M.
Education
Rajiv Gandhi University of Knowledge Technologies, Srikakulam
B. Tech
Rajiv Gandhi University of Knowledge Technologies, Srikakulam
PUC
Z.P.P.Girls High School, Gollaprolu
High School
Licenses & Certifications
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft
Databricks Certified: Data Engineer Associate
Databricks
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
Microsoft Certified: Data Fundamentals (DP-900)
Microsoft