Aravinda Ganesh

WORK HISTORY

EDUCATION

ABOUT ARAVINDA GANESH

I am a Data Engineer with over 6 years of experience building scalable data pipelines, real-time streaming systems, and cloud-native architectures across healthcare, insurance, and clinical domains. Skilled in Apache Spark, Airflow, AWS Glue, Kafka, and Azure Data Factory, I focus on delivering data ecosystems that are secure, compliant, and optimized for performance. In my work, I’ve developed end-to-end ETL workflows, architected data lakes and warehouses (S3, Redshift, Snowflake, Delta Lake), and automated reporting pipelines that reduce manual effort and improve decision-making. I also collaborate with data scientists to productionize ML models in SageMaker and Scikit-learn, enabling predictive insights for patient outcomes, fraud detection, and operational efficiency. I enjoy bridging the gap between raw data and actionable insights, ensuring organizations can leverage data to improve efficiency, compliance, and business outcomes.