• Designing and implementing disaster recovery strategies for Power BI and MSBI solutions.• Configuring and managing Azure Data Factory pipeline parameterization with precision, ensuring secure and flexible data integration solutions• Collaborated with business analysts and data scientists to design and implement SQL queries for data exploration and advanced analytics• Developed and maintained scalable data ingestion pipelines using tools like Apache Nifi or StreamSets.• Actively engaging in the evaluation and selection of tools and technologies related to SSIS data integration.• 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.• Develop and maintain Redshift data lakes using Redshift Spectrum, allowing for the analysis of data stored in Amazon S3.• Designing and implementing custom data serialization and deserialization techniques in Azure Data Bricks for data exchange.• Designing MongoDB data models involves defining the structure of the data to represent business entities and their relationships.• Leveraging Power BI's natural language query capabilities to enable users to ask questions and receive visual answers in real-time.• Design and implement data archiving solutions in Snowflake for long-term data retention and compliance.• Setting up and meticulously managing custom deployment schedules to accommodate different time zones and business hours in Azure DevOps.• Collaborating with data engineers and administrators to ensure smooth data integration, data governance, and optimal performance in Power BI.• Develop and maintain Snowflake data replication for data redundancy and availability, ensuring data availability in case of failures.• Establishing and optimizing data lake integration with Azure Cost Management to ensure meticulous cost monitoring and optimization

• Designing and implementing data lake integration with Azure HDInsight, harnessing big data analytics and seamless Hadoop ecosystem integration• Skillfully incorporating interactive elements such as hyperlinks and drill-through actions, transforming Azure Data Factory reports into highly engaging and interactive data experiences• Developing and maintaining data lineage tracking and documentation platforms to trace the origin and transformations of data within Power BI and MSBI solutions.• Configuring Azure Synapse managed identities to enable secure authentication without the need for explicit credentials.• Developing and managing automated unit tests for Azure Data Bricks notebooks.• Implementing and proficiently managing automated rollback mechanisms in Azure DevOps, ensuring quick recovery in case of deployment failures.• Developing custom SSIS components and tasks using languages like C# or VB.NET to enhance and tailor SSIS capabilities as per specific project requirements.• Developing and orchestrating ETL (Extract, Transform, Load) processes that seamlessly populate and synchronize OLAP and OLTP databases, ensuring data consistency across systems• Developed and maintained SQL scripts for database performance tuning and query optimization to enhance response times• Implement database security measures and access controls.• Innovatively developing and maintaining bespoke SSIS components, seamlessly integrating .NET and C# to forge a realm of new possibilities for SSIS.• Configuring and overseeing data lake integration with Azure Active Directory, empowering secure and seamless data access control• Leveraging SSRS expression language or custom code, to develop and maintain report expressions and custom functions.• Configuring and managing data encryption and security features in Azure Data Bricks for data protection.• Designing and developing Power BI dashboards with custom data storytelling and narrative.

1.Experience in using Power BI and other reporting tools to create dynamic dashboards and reports, manage Power BI report subscriptions, write advanced queries, and perform complex calculations.2.Implemented data governance policies, fairness-aware model debiasing, and auditing key vault usage. 3.Integrated Power BI with Microsoft SharePoint, optimized report performance in Azure Data Factory, and developed data governance governance frameworks. 4.Implemented robust data validation and reconciliation procedures in SSIS, managed report snapshots, and implemented feature engineering techniques in Azure Data Bricks. 5.Experience with customer segmentation and clustering techniques, and have used Redshift workload management to optimize queries. 6.Designed and established data lake integration with Azure Active Directory B2B for secure collaboration.