PySpark Professional

• Develop and optimize PySpark-based data pipelines

• Design robust data models and database schemas

• Implement and manage ETL processes

• Work on cloud-based data platforms (AWS/Azure)

• Ensure high data quality and performance standards

• Collaborate with teams for requirement analysis and delivery