Ratnakar Eethakota

I’m a Data Engineer with 3+ years of experience designing, developing, and optimizing scalable data pipelines and ETL/ELT workflows using Azure cloud services. I build reliable data solutions for analytics and business intelligence, with a strong focus on data quality, security, and performance optimization.

In my current role, I designed and developed scalable ETL/ELT pipelines using Azure Data Factory and Databricks for large-scale processing. I built high-performance pipelines using PySpark and SQL and implemented data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency.

Previously, I worked on data lake architecture with Azure Data Lake Storage (ADLS), optimized Spark jobs and SQL for better performance, and orchestrated workflows using Azure Data Factory and Apache Airflow. I also develop modern data platform capabilities through projects like data lakehouse/Medallion architecture, including lineage tracking, validation layers, and Delta optimization (OPTIMIZE, VACUUM, partitioning).