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Design, build, and maintain cloud-based data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate data from multiple sources, optimize large-scale processing, support SQL Server/SSIS environments, and collaborate with BI teams for analytics and reporting.

Design and develop Azure Databricks-based data pipelines and Lakehouse architectures using PySpark, Spark SQL, Delta Lake, and Azure Data Factory. Integrate and optimize data from multiple sources, support SQL Server/SSIS platforms, ensure data quality and scalability, and collaborate with BI teams for analytics and reporting.

Design, develop, and maintain scalable cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate and optimize SQL Server/SSIS-based data warehouses, ensure data quality and performance for large datasets, and collaborate with BI teams to support analytics and reporting.

Design, develop, and maintain scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory; integrate and model data from multiple sources, optimize performance for large datasets, support SQL Server/SSIS platforms, and collaborate with BI teams to enable analytics and reporting.

Design, build, and maintain cloud data pipelines and Lakehouse architectures on Azure Databricks using PySpark, Spark SQL, Delta Lake and Azure Data Factory. Integrate sources into analytical/data warehouse layers (SQL Server/SSIS), ensure data quality, scalability and performance, and support BI teams (Power BI). Contribute to modern cloud data platform design and optimization.

Design, develop, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources, optimize large-scale ETL/ELT transformations, support SQL Server/SSIS platforms, ensure data quality and performance, and collaborate with BI teams to enable analytics and reporting.

Design, develop, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources with SQL Server/SSIS, optimize large-scale processing for performance and scalability, and collaborate with BI teams to support reporting and analytics.

Design, build, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory; integrate and optimize data from multiple sources, support SQL Server/SSIS environments, and collaborate with BI teams for reporting and analytics.

Design, develop, and maintain Azure Databricks-based data pipelines and Lakehouse architectures using PySpark, Spark SQL, Delta Lake, and Azure Data Factory. Integrate diverse sources into SQL Server-based warehouses, ensure performance and data quality, and support BI/reporting (Power BI) and cloud migration efforts.

Design, develop, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate and transform data from multiple sources, support SQL Server/SSIS environments, optimize performance for large datasets, and collaborate with BI teams for Power BI reporting.