kamal

Optimizing Spark SQL queries and data processing in Azure Databricks, ensuring high-speed
data retrieval.
❖ Creating and managing data gateways in Power BI to securely connect to on-premises data
sources and enable scheduled data refreshes.
❖ Optimize Power BI reports and dashboards for performance and usability
❖ Participating in the migration and upgrade of SSRS reports to newer versions, ensuring
compatibility and functionality.
❖ Design and implement backup and disaster recovery solutions to protect application data from
unforeseen incidents.
❖ Documentation and knowledge sharing for SSAS: Documenting SSAS cube designs,
configurations, and troubleshooting procedures, and sharing SSAS-specific knowledge with the
team to ensure effective collaboration and support
❖ Configuring and managing package parameters and expressions in SSIS, allowing for dynamic
configuration and runtime customization of package behavior.
❖ Developing and maintaining custom SSIS components using the SSIS object model, extending
the capabilities of SSIS through custom code and components.
❖ Implementing and managing package transaction handling and rollback in SSIS, ensuring data
consistency and integrity during package execution.
❖ Manage access control for different users and roles within the database to maintain data
integrity.
❖ Setting up and configuring monitoring and alerting for Azure Synapse workloads, including
monitoring performance, resource utilization, and data quality.
❖ Expertly crafting and implementing data integration pipelines within Azure Synapse, ensuring
seamless and efficient data flow across diverse sources and destinations.
❖ Designing and implementing scalable and high-performance data pipelines in Azure Databricks,
facilitating data flow efficiency.
❖ Applying agile methodologies like Scrum or Kanban within Azure DevOps to manage work items
effectively.

Optimizing Spark SQL queries and data processing in Azure Databricks, ensuring high-speed data retrieval.
Creating and managing data gateways in Power BI to securely connect to on-premises data sources and enable scheduled data refreshes.
Optimize Power BI reports and dashboards for performance and usability.
Participating in the migration and upgrade of SSRS reports to newer versions, ensuring compatibility and functionality.
Design and implement backup and disaster recovery solutions to protect application data from unforeseen incidents.
Documentation and knowledge sharing for SSAS: Documenting SSAS cube designs, configurations, and troubleshooting procedures, and sharing SSAS-specific knowledge with the team to ensure effective collaboration and support.
Configuring and managing package parameters and expressions in SSIS, allowing for dynamic configuration and runtime customization of package behavior.
Developing and maintaining custom SSIS components using the SSIS object model, extending the capabilities of SSIS through custom code and components.
Implementing and managing package transaction handling and rollback in SSIS, ensuring data consistency and integrity during package execution.
Manage access control for different users and roles within the database to maintain data integrity.
Setting up and configuring monitoring and alerting for Azure Synapse workloads, including monitoring performance, resource utilization, and data quality.
Expertly crafting and implementing data integration pipelines within Azure Synapse, ensuring seamless and efficient data flow across diverse sources and destinations.
Designing and implementing scalable and high-performance data pipelines in Azure Databricks, facilitating data flow efficiency.
Applying agile methodologies like Scrum or Kanban within Azure DevOps to manage work items effectively.
Participating in agile ceremonies and promoting continuous improvement in the development process.
Comprehensively implementing data lifecycle management processes to govern data retention and archival in Azure Data Factory.
Implementing and overseeing data lake integration with data access auditing and tracking tools, providing comprehensive data monitoring and accountability within Azure Data Lake.
Designing and implementing data lake backup and restore processes in Azure Data Lake.
Collaborating effectively with data quality teams to implement data quality checks and improvements within Azure Data Factory.

Developing and maintaining SSIS package documentation, including data flow diagrams and dependencies, to provide a comprehensive understanding of package structure and data flow.
Implementing security measures in Power BI to control access to reports and dashboards, ensuring data confidentiality and compliance with regulations.
Optimizing the performance of Power BI solutions by fine-tuning queries, improving data refresh schedules, and implementing caching techniques.
Create and maintain disaster recovery plans and backup procedures to ensure data availability and business continuity.
Monitor and optimize database and data warehouse performance, including query tuning and index optimization.
Developing and maintaining OLAP (Online Analytical Processing) cubes for multidimensional analysis.
Designing cube structures, defining dimensions and measures, and processing cubes to enable fast analytical queries.
Implementing data cleansing and data quality processes to ensure the accuracy and reliability of the data used for business intelligence.
Identifying and resolving data anomalies, inconsistencies, and errors.
Analyze data usage patterns and recommend database and data warehouse capacity planning strategies.
Creating and managing database indexes to improve query performance and reduce query execution time.
Develop and implement data governance policies and procedures to ensure data quality and consistency.
Collaborating with data architects and database administrators to ensure seamless integration of Power BI with data sources, such as data warehouses, data lakes, or cloud platforms.