Optimize data pipelines, ETL processes, and queries for performance efficiency.Improve query execution plans, indexing strategies, and storage optimization in Azure SQL, Synapse, and Data Lake.Implement data partitioning, caching, and compression techniques for efficiency.Monitor and analyze cloud spending to reduce costs without compromising performance.Optimize Azure resources such as Databricks, Data Factory, Synapse, and storage for cost-effective usage.Establish coding standards, best practices, and design patterns for data pipelines and cloud infrastructure.Define and enforce data governance, security, and compliance policies.Establish DevOps practices for CI/CD pipelines in data engineering workflows.Implement monitoring, alerting, and logging best practices using Azure Monitor, Log Analytics, and Application Insights.Ensure high availability and disaster recovery strategies.Optimize Power BI data models, DAX queries, dataset performance, and report design.Ensure Power BI governance, security, and data refresh strategies align with business needs.Collaborate with business stakeholders to translate requirements into actionable insights.