Nithish Atapaka Srinivasulu

• Utilizing metadata and tagging in Azure Synapse Key Vaults to organize and categorize keys based on their purpose and usage.
• Implementing advanced logging and performance monitoring strategies in SSIS packages to gather and analyze crucial execution metrics, guaranteeing data accuracy and efficiency.
• Optimizing Tableau dashboards for performance and efficiency.
• Implemented scalable feature extraction workflows to enhance the predictive power of AI-driven models.
• Implement data replication and synchronization processes in Redshift to ensure data consistency across different environments and data sources.
• Scheduled recurring data refresh jobs using Apache Airflow to supply up-to-date inputs for machine learning pipelines.
• Conducted BI data profiling and metadata management for comprehensive data understanding.
• Set up Git blame with the show-stats option to view statistics about changes in the database code.
• Implementing and managing integration with Azure DevOps for version control and collaborative development in Azure Databricks.
• Building and maintaining data warehouses and data marts, providing organizations with a solid foundation for data storage and retrieval.
• Scheduling and automating SSAS ETL processes to ensure timely and accurate data updates, minimizing manual intervention, and streamlining workflows.
• Develop and optimize complex SQL queries in Snowflake to extract and manipulate data for analysis.
• Utilizing the Azure Logic Apps Connector for SAP to integrate SAP systems with other applications and services.
• Develop and maintain data quality checks and data cleansing processes to ensure data integrity.
• Demonstrating expertise in using Azure Data Factory's data flow transformation capabilities, including mapping, pivoting, and aggregating data.
• Seamlessly transitioning Azure Purview catalogs between environments, assuring data consistency across different stages.
• Ensuring data confidentiality and privacy through the thoughtful design and implementation of report security and access controls in SSRS.
• Designing and developing Power BI dashboards with custom drill-through actions and cross-filtering.
• Configured AWS Data Pipeline for ingesting and transforming data from various sources into AWS data stores.
• Implementing and managing error handling and data retry mechanisms for robust data processing.
• Implement robust data security measures on AWS Glue, including encryption, access controls, and data masking, to protect sensitive information, and ensure compliance with regulatory requirements.
• Configuring and managing database replication and data mirroring for real-time data redundancy and failover capabilities.
• Designing and implementing effective data partitioning strategies to optimize data storage and retrieval performance in Azure Data Lake.

Data and Power Bi Analyst with around 6 years of hands-on experience in building cloud-based data solutions, developing BI architectures using Synapse, ADF, and Power BI, and optimizing performance across hybrid data platforms to support machine learning workflows and AI model deployment.