Blog tagged as Azure Databricks, PySpark, Spark ETL, Cloud Cost Optimization, Data Engineering, Control-M, Azure Synapse, Workflow Orchestration, Enterprise Automation
A technical case demonstrating how Spark-based ETL pipelines were optimized for cost, compliance, and reliability in regulated cloud environments using Azure Databricks and enterprise schedulers.
