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Expert in Databricks Pyspark python

Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed
Optimize data pipelines for performance, scalability, and reliability
Ensure data quality and integrity throughout the data lifecycle
Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs
Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations
Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management
Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community
Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies