- Orchestrated SSRS report development and deployment across multiple environments.- Built and maintained Power BI dashboards for real-time business metrics.- Implemented data partitioning and distribution strategies in Azure Synapse for scalability.- Enabled multi-language support in SSRS reports for global users.- Configured data transformation logic in Azure Data Factory for high-quality outputs.- Trained users on SSAS models for data analysis and report generation.- Applied data masking and anonymization in Snowflake to safeguard sensitive information.- Standardized data definitions using Azure Purview’s data glossary.- Developed and optimized Power BI data models for performance and integrity.- Established encryption key rotation in Azure Synapse to enhance data security.- Built Python applications for financial forecasting and analysis.- Integrated Azure Databricks with data science libraries for advanced analytics.- Developed SQL scripts for performance monitoring and resource optimization.- Conducted anomaly detection using unsupervised learning methods like Isolation Forests.- Managed Snowflake data cataloging for improved metadata organization.- Integrated Azure Data Factory with Azure ML for predictive modeling.- Tracked ML experiments in Azure Databricks using MLflow.- Configured access permissions in Azure Data Lake to ensure data security.- Developed data synchronization processes for consistent business intelligence data.- Optimized Power Query workflows in Power BI for efficient data transformation.- Implemented database recovery and rollback procedures for business continuity.- Automated data workflows with Azure Logic Apps.- Conducted performance and scalability tests for Azure solutions.

- Designed SSRS report layouts and templates for user-centric reporting.- Collaborated with analysts to design data cubes, enhancing multidimensional analysis.- Developed Azure Functions for microservices, streamlining business tasks.- Designed MongoDB archival processes for legal compliance and efficient access.- Implemented advanced Power BI features like drill-through and cross-filtering for better user experience.- Configured Azure Purview for multi-lingual metadata annotations.- Built live Power BI dashboards for real-time data monitoring.- Created predictive models in Python to support data-driven decisions.- Managed SSIS package deployment through change control processes.- Developed data deduplication and cleansing techniques in Azure Databricks.- Implemented SQL Server in-memory OLTP for high-performance data processing.- Collaborated with governance teams to enforce Azure Data Factory policies.- Managed data access and privacy compliance in Azure Synapse.- Designed data lake solutions for real-time streaming data processing.- Configured Snowflake data sharing for secure external collaboration.- Managed SSAS cube processing, ensuring up-to-date data and performance monitoring.- Designed data models and schemas for relational and NoSQL databases.- Developed custom visuals and extensions in Power BI for enhanced user engagement.- Created Power BI dashboards with custom layouts for improved visual appeal.

- Implemented Azure Storage solutions, including Blob, File, and Disk Storage, for scalable data storage.- Designed control flow tasks in SSIS packages, orchestrating task execution.- Collaborated with data scientists on sentiment analysis models for customer insights.- Managed Power BI data connections and gateways for secure access to cloud and on-premise data.- Developed data migration strategies for seamless system transfers with minimal disruption.- Conducted propensity modeling to predict customer behavior and enable targeted campaigns.- Developed big data solutions within Azure Data Lake to enhance analytics.- Configured Azure Purview to catalog external data pipelines, maintaining a current data inventory.- Maintained SQL scripts for schema comparison and synchronization between environments.- Configured Azure Data Factory pipeline monitoring and alerts for proactive issue management.- Ensured data consistency between OLAP and OLTP systems through synchronization.- Developed ETL processes to load data into SSAS cubes for optimized integration.- Implemented data security in SSAS with role-based access and confidentiality measures.- Managed report subscriptions and delivery in SSRS, scheduling report generation.- Developed PostgreSQL triggers to automate database actions and streamline operations.- Created dynamic SSRS report subscriptions based on data conditions.- Set up SSIS checkpoints for package restartability and reliable processing.- Implemented security measures for SSIS packages, encrypting sensitive configurations.- Utilized Azure Databricks for market basket analysis and association rule mining.- Set up Git blame stats to track database code changes and improve version control.

- Managed SSRS report data sources and securely stored credentials for data access.- Created SSIS package configurations using environment variables for dynamic settings across environments.- Implemented SSRS report localization and multi-language support to enhance global usability.- Participated in code reviews and quality assurance for high-standard data solutions.- Ensured data accuracy and reliability with SSAS data validation and reconciliation procedures.- Configured data integration with cloud services to streamline workflows.- Developed SQL scripts for data migration and consolidation, optimizing performance.- Implemented data anonymization and pseudonymization to protect sensitive information.- Created and maintained technical documentation for SSIS packages and ETL processes.- Provided technical support and troubleshooting for database and data warehouse issues.- Designed SSIS package control flow for optimal parallel processing and performance.