Dallas-Fort Worth Metroplex
•19+ years of experience in IT industry. Having experience in Banking & Finance, Telecom, Manufacturing, Healthcare, Insurance, Application Security domains. Specialist in Business Intelligence Data Modeling with Data Architecting, Database Design, Dimensional and Relational Modeling, Star and Snowflake Schema design, Data mapping experience and Data Scientist •Currently working as Senior Manager - Enterprise Data Governance and Data Science •Good experience in building EDW, Data Marts, Operational Data Store (ODS) •Strong Expertise in Tableau and PowerBI •Strong knowledge on executing the Data ware house projects (OLAP) and Web technology projects (OLTP) from End to End in the traditional waterfall and the latest agile/scrum project management methodologies. •Strong expertise with Dimensional Modeling with top down and bottom up approaches , designing star schemas and snow flake schemas, operational data Store, Integrated data store, Process Modeling, Flowcharts, Forward Engineering, and Reverse-Engineering techniques •Good experience in ETL and Reports development using MSBI(SSIS, SSRS and SSAS), and experienced implementing the Slowly Changing Dimensions, OLAP Cubes and performed a detailed analysis by defining data sources views, perspectives and partitions etc.,. •Worked with end users to understand business requirements, and recommended technical solutions. •Extensive experience in Conceptual/Logical/Physical Data models with Normalized/ De-normalized Databases on both OLTP /OLAP environment using different modeling tools. •Proficiency in data warehousing techniques for data cleansing, Slowly Changing Dimension, surrogate key assignment and, Periodic and Accumulating snapshots. •Expertise in Data Quality, Data Mapping, Data Integration, Data consolidation, Data Governance, Data Classification and Permission Design. Proficient in Requirement Gathering, analysis,Validation, design, development and testing in the areas of Data Warehousing, BI and OLAP. •Experience on python libraries such as NumPy, SciPy for mathematical calculations, Pandas for Data Pre-processing, Matplotlib, Seaborn for data visualization, Sklearn for machine learning, Tensor Flow, Keras for Deep leaning. •Good Experience in creating various predictive modelling algorithms (Linear, Logistic, Decision Tree, Random Forest, Time Series predictive modelling). Machine learning algorithms such as Supervised and unsupervised. Good Experience in Artificial Intelligence(AI), Data Science, Data Engineering, Machine Learning(ML), Deep Learning using Python