Responsibilities: • Employed transfer learning for domain adaptation in speech recognition tasks, fine-tuning pre-trained models for specific dialects or accents during data analysis.• Maintaining data integration workflows between OLAP and OLTP systems for synchronized and up-to-date data• Assiduously safeguarding report security and access controls in SSRS, ensuring confidential data remains accessible only to authorized users.• Collaborated with data modelers to design and implement data models for ETL processes and data warehousing• Skilled in using Git reflog to recover lost or deleted commits, providing a safety net for accidental changes.• Mastering the use of Azure Data Factory's data flow profiling capabilities to identify data quality issues and discrepancies• Designed and implemented data deduplication processes to eliminate redundant data and optimize storage.• Collaborating with data scientists to implement custom algorithms in Azure Data Bricks.• Strategically plan and skillfully manage database capacity through cutting-edge tools and efficient procedures, accommodating data growth and ensuring seamless operations.• Staying informed about new releases and updates in SSIS and leveraging new features and functionalities for enhanced ETL processes.• Configuring and managing security roles and data access permissions in SSAS tabular models, controlling user access to data based on predefined roles and permissions.• Continuous learning and staying up-to-date with SSAS advancements: Keeping abreast of the latest features, enhancements, and best practices in SSAS

Responsibilities: • Implemented slowly changing dimension (SCD) techniques to handle changing data within the data warehouse (DWH)• Configuring and managing security roles and data access permissions in SSAS tabular models, controlling user access to data based on predefined roles and permissions.• Proactively staying abreast of the latest SSRS features and enhancements, seamlessly integrating them into report development processes for maximum impact.• Implementing data archiving and purging strategies to manage data growth and improve data storage efficiency in OLAP and OLTP databases• Expertly handling package events and notifications in SSIS, utilizing event handlers to respond to specific events and execute actions accordingly.• Developed and maintained BI data reporting templates for consistent and professional outputs.• Conducting data analysis and data modeling to identify trends, patterns, and insights for business decision-making• Implemented SQL server database encryption and data masking to secure sensitive data from unauthorized access• Ensuring data accuracy and user input integrity by skillfully implementing report parameter validation and data type constraints in SSRS, securing the reliability of report parameters.• Implementing advanced logging and performance monitoring strategies in SSIS packages to gather and analyze crucial execution metrics, guaranteeing data accuracy and efficiency.• Skillfully managing change through well-defined processes for SSIS package deployment, maintaining version control and ensuring smooth transitions between development, testing, and production environments.