Sravan Kumar Email & Phone Number

With over 4 years of robust experience in IT, I specialize as a Data Analyst with a focus on developing and implementing Data Warehouse solutions. My expertise spans the entire spectrum of the Software Development Life Cycle (SDLC), from initial analysis and design through to testing, implementation, and ongoing maintenance.I am proficient in Microsoft Business Intelligence technologies such as SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS), leveraging them to design and optimize ETL processes and generate insightful reports. My skills include dimensional data modeling, encompassing both star schema and snowflake schema methodologies, and I am adept at creating and refining data models across conceptual, logical, and physical levels.I have a proven track record in database development and optimization, using T-SQL and PL/SQL to craft complex queries, stored procedures, triggers, and functions for ensuring data integrity and performance. Additionally, I excel in data analysis, transformation, and loading through various ETL tools including SSIS, Informatica, and others.My experience extends to utilizing BI tools like Tableau and Power BI for data visualization and dashboard creation, as well as implementing forecasting models and capacity planning strategies. I have also demonstrated proficiency in utilizing advanced analytics tools such as R and Python for text analytics and generating data visualizations.Throughout my career, I have effectively collaborated with cross-functional teams to deliver optimal business solutions aligned with corporate objectives. My strong analytical skills, coupled with excellent communication and interpersonal abilities, have enabled me to excel in both technical and managerial roles.I am passionate about leveraging technology to drive business insights and operational efficiencies, and I am committed to continuous learning and innovation within the field of data analytics and business intelligence.

• 

  Auburn University

  Computer Science