Over 9+ years of experience in Software Development Life Cycle (SDLC), including data analysis, design, development, testing, and deployment. Strong expertise in Business Intelligence and Data Warehousing, with a focus on ETL processes and SDLC methodologies. Proficient in Data Analysis, Data Validation, Data Cleansing, and identifying data mismatches. Extensive experience in relational and dimensional data modeling, logical/physical design, ER Diagrams, OLTP, and OLAP systems. Proficient in utilizing Tableau tools including Tableau Desktop, Server, and Public for creating insightful visualizations. Experienced in R and Python for data manipulation, statistical analysis, data extracts, and data munging. 7+ years of SAS programming experience across UNIX, Mainframes, and Windows platforms, with strong expertise in SAS Data Warehousing. Led the migration of SAS processes to Ab Initio, improving efficiency in data processing workflows. Expertise in creating Power BI Dashboards (Power View, Power Query, Power Pivot) to drive business insights. Experience in developing Customer Journey Maps, identifying key customer touchpoints and optimizing customer satisfaction. Proficient in analytical tools like R, SPSS, and Python to develop risk management and marketing strategies. Extensive knowledge of Data Warehousing principles, including Star and Snowflake schema modeling. Strong experience with Informatica Data Quality toolkit for data cleansing, exception handling, and monitoring. Skilled in Excel Pivot Tables and VBA Macros for business process automation. Experience with AWS services (EC2, S3, Redshift, Glue, Lambda) for building and managing data pipelines. Managed data migration projects using UNIX scripting, Oracle, and Teradata, ensuring seamless transitions. Expertise in Microsoft Azure Machine Learning Studio for feature engineering, model development, and deployment. Developed automated ETL validation scripts using Python for databases like Oracle, SQL Server, Hive, and MongoDB.