Data Architecture & Engineering Design and architect scalable, high-performance ETL/ELT data pipelines using PySpark, Python, and Spark clusters.Develop data models and frameworks aligned with telecom processes such as buyflow, billing, usage, customer management, and order processing.Build, optimize, and monitor pipelines on Databricks (Delta Lake, Workflows, Cluster configuration).Define and enforce ETL standards, data quality rules, and engineering best practices.Domain & Business Integration