Experience in data ingestion, cleansing, and transformation processes from various structured and unstructured data sources like Cassandra & Mark Logic and on-prem Mainframe sources using Databricks/PySpark supporting batch and near-real-time ingestion, transformation, and processing. Responsibilities: Design develop and optimize scalable data pipelines leveraging Databricks (Spark, PySpark, SQL, Delta Lake) to support enterprise level data processing and analytics.