Srinu Manikanta Katha

Azure Data Engineer with 1.5+ years of experience building scalable, production-grade data pipelines using Azure Data Factory and Databricks. Specialized in Medallion Architecture, Delta Lake optimization, and SCD Type 2 implementations. Experienced in processing millions of healthcare records, improving data reliability, and delivering high-performance ETL pipelines with CI/CD automation.

Data Engineer – Level 1 at UST Global (2024-12 – Present)

Client: Anthem Insurance (Healthcare Domain)

• Designed and deployed scalable ETL pipelines using Azure Data Factory and Databricks to process large-scale healthcare datasets (~millions of records) including provider, claims, and member eligibility data.
• Built end-to-end Medallion Architecture (Bronze → Silver → Gold) on ADLS Gen2 using Delta Lake, improving data processing efficiency by 30%.
• Developed PySpark-based transformation pipelines for data cleansing, deduplication, and SCD Type 2 implementation, ensuring accurate historical tracking of provider data.
• Implemented automated data quality validation framework, processing ~12K+ records/day and reducing manual validation effort by 60%.
• Optimized data processing using Delta Lake and partitioning techniques, improving pipeline reliability and reducing query execution time, and overall data processing efficiency.
• Automated CI/CD pipelines in Azure DevOps with ARM templates, reducing manual effort.
• Collaborated with analytics teams to deliver curated Gold layer datasets for business KPIs including claims analysis, revenue insights, and denial rates.

B.Tech in Computer Science / Information Technology – Narasaraopet Engineering College (2024)

Diploma in Engineering – Kakinada Institute of Technology and Science (2021)

SSC (Class 10) – Pragnyaa School (2018)