• Using Snowflake on Azure, led the development and management of large data and analytics solutions on Snowflake Cloud Data Warehouse.• Integrated Power BI seamlessly with Azure Machine Learning, embedding predictive analytics into reports and dashboards for enhanced insights.• Improved data protection by designing and implementing unique encryption and security methods in Azure Cosmos DB.• Managed the development of Power BI dashboards that improved visual representation by using unique shapes and iconography.• Executed and carried out cryptographic key versioning and archiving processes in Azure Synapse, enabling historical data retention.• Customized Azure Purview's data discovery rules to meet strict industry compliance standards, guaranteeing regulatory compliance and data governance.• Developed and planned automated SSIS ETL operations to streamline workflows and ensure correct and timely data changes.• Created Git hooks to automate the data aggregation and summary of BI reports, increasing productivity.• Executed sentiment analysis and sentiment classification on unstructured text data by utilizing Azure Data Bricks.• Simplified feature engineering and data preparation by seamlessly integrating Azure Data Factory with Azure Machine Learning.• Developed and designed tabular and multidimensional models in SSAS, optimizing structures for effective reporting and analysis.• Coordinated Azure Purview data lake connection, guaranteeing comprehensive data governance and discovery.• Reduced query response times through fine-tuning aggregations, partitions, and hierarchies to maximize SSAS cube performance.• Implemented Python scripts into practice for quick and effective data encryption and decryption procedures.

• Adept at coordinating Azure Data Platform solutions; has a focus on Synapse, Data Bricks, and Azure Data Factory. Proficiency encompasses anomaly identification, performance tracking, and tactical data reorganization for unmatched effectiveness.• Experienced in putting sophisticated SSIS techniques into practice, such as incremental data updates in SSAS, checkpoint optimization, and robust error handling. renowned for creating and managing stored procedures and scalable database triggers for improved performance.• Proficient in Power BI, creating and managing datasets with data lineage tracking for accuracy. Extensive experience in integrating Power BI with diverse BI tools and platforms, enhancing capabilities and extending functionality.• An emphasis on data security and compliance is seen in the use of Azure Synapse MFA, the configuration of SAS tokens, Blob Storage access controls, and data archiving practices in Azure Purview to satisfy legal obligations.• Devoted to DevOps, build agent management, code standards implementation using Git hooks, and guaranteeing effective deployment goals in Azure. competent in resource optimization, enforcing best practices, and version control.

• Oversaw the development and administration of subscriptions for dynamic SSRS reports, customizing data-driven parameters to guarantee reports' continued relevance and flexibility. able to prioritize user requirements, create detailed reports in Power BI, and keep a close eye on data accuracy.• Data availability and redundancy across different databases were ensured by implementing database replication and synchronization mechanisms. Developed SQL database data partitioning and indexing in conjunction with data architects to improve the effectiveness of data retrieval. proficiency in utilizing web services and APIs to seamlessly integrate SSAS packages with external systems and exchange data.• Created and maintained SSAS mining models for sophisticated data analysis and predictive modeling, such as time series, decision trees, and clustering. used SSAS's data mining techniques to find patterns and trends that added to the overall data insights.• Carried out in-depth SSIS data profiling and analysis to proactively detect problems with data quality and put in place workable fixes. indexed and partitioned data in the data warehouse to facilitate effective data retrieval. As a DBA, I created benchmarking tools and processes to assess and improve database performance.• Created and put into place row-level security to limit access to data according to the roles and privileges of users. directing the reporting and auditing of key vault usage in order to uphold adherence to security and data governance guidelines.