Sai Swetha Paspunuri

I am a Data Engineer with over 4 years of experience in building secure and scalable data platforms across healthcare, banking, and financial services. My expertise lies in developing real-time and batch data pipelines using technologies such as Spark, Kafka, Databricks, and Airflow, handling over 30 million records daily. I have successfully delivered cloud-native solutions on AWS, Azure, and GCP, utilizing tools like Glue, Synapse, BigQuery, and Redshift to enable real-time analytics and ensure compliance.

At HCA Healthcare, I have developed real-time data ingestion pipelines that reduced alert latency by 50% and designed an AWS-based Lakehouse architecture that integrates seamlessly with multiple downstream systems. My focus on optimizing ETL jobs has improved performance by 60%, and I have automated over 50 Airflow workflows, achieving a 99.9% pipeline success rate. My commitment to data security and compliance is evident through my implementation of IAM, KMS, and RBAC, ensuring full HIPAA audit compliance.

Previously, at Capgemini, I built scalable ETL pipelines that processed millions of daily transactions and migrated to real-time pipelines, significantly reducing SLA violations. My ability to apply GDPR controls and deliver regulatory datasets with full audit traceability showcases my dedication to data governance and compliance. I am passionate about leveraging data to drive insights and foster collaboration within analytics teams.