Srinivas Samala Email & Phone Number

• Implemented and maintained data models, data flows, and related strategies for applications, data marts, or warehouses as per established standards to ensure high data quality and reduced redundancy.• Utilized Cloud based AWS for data applications such as Amazon Redshift, S3, RDS, Athena, Glue and Quick sight.• Involved in completing the AWS components migration such as Redshift, S3, IAM Users and Roles from one AWS Account to Another AWS Account.• Designed and implemented data pipelines using Snowflake's cloud data platform, optimizing for performance and scalability.• Experienced in ETL processing large datasets of different forms including structured, semi-structured and unstructured data.• Monitored and optimized the performance of AWS infrastructure using AWS CloudWatch, setting up metrics, logs, and alarms for real-time insights into application health and performance.• Built and maintained end-to-end data pipelines using ADF, automating the movement of on-premise and cloud data into ADLS and Azure SQL Database.• Implemented Azure Databricks for large-scale data transformation and analytics, optimizing ETL workflows with PySpark and integrating with Azure Data Lake for seamless storage.• Managed and optimized data storage and analytics on Azure Blob Storage, and Azure SQL Data Warehouse, ensuring data governance through Azure Role-Based Access Control.• Utilized Azure Monitor and Azure Log Analytics to track and manage data pipeline performance, setting alerts for failed jobs and monitoring resource utilization for cost optimization.• Gather and analyze business requirements and translate business needs into long- term business intelligence solutions leveraging the Microsoft SQL Server platform (SQL Server, SSIS, SSRS, SSAS) and other tools.• Experience in developing Conceptual, logical models, and physical database design for OLTP and OLAP systems.• Designed and implemented effective data models in Power BI using relationships, hierarchies,and DAX.• Extensive experience in creating different types of SSRS reports like drill-down reports, drill through reports, parameterized reports, snapshot reports, linked reports, and cached reports.• Developed interactive dashboards and reports using Amazon QuickSight, enabling real-time data visualization and insights from AWS data lakes, Redshift, and S3.• Implemented row-level security in QuickSight to control access to sensitive data, ensuring users only see data relevant to their role or department.

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  Sri Venkateswara University

  Computer Science And Engineering