Highly skilled Snowflake professional with a proven track record of successfully designing and implementing data migration strategies, resulting in significant improvements in data retrieval time and accessibility. Adept at providing data analysis, training, and support to drive revenue growth, improve customer satisfaction, and increase team productivity. Proficient in programming languages such as Python. Working with Logical Data Modeling, Physical Data Modeling, Teradata, IBM Info Sphere Data Stage and in the areas of Data Migration, Data Integration, and Data Cleansing in Financial Markets Services Delivery. - Designing and developing machine learning models and algorithms that address specific business needs, from recommendation systems to predictive analytics. - Collecting, cleaning, and analyzing data from various sources to identify patterns, trends, and insights that can drive decision-making. - Collaborating with cross-functional teams, including data scientists, software developers, and domain experts, to integrate AI solutions into existing systems. - Evaluating the performance of AI models, fine-tuning parameters, and optimizing algorithms to achieve desired outcomes. - Ensuring data privacy and security in AI applications, complying with regulations and industry standards. - Strong applied knowledge of software development efforts through implementation including good design, documentation, and supportability practices. - Strong understanding of advanced data warehouse concepts (Fact less Fact Tables, Temporal BI-Temporal models, etc.) - Detail oriented with strong organizational and analytical skills. - Strong experience in Data warehousing area using Teradata, Data stage, Erwin and Decision Support System tools like Essbase. - Strong understanding and work experience in Data Model like Conceptual, Physical and Semantic Data Models. - Extensive experience in development project SDLC including Requirement analysis, design, and development and testing. - Having sound knowledge on Teradata Database. Worked extensively on Teradata FSLDM Model and utilities such as MLOAD, FLOAD and BTEQ. - Extensively worked in Data Stage Parallel Extender stages like, Join, Funnel, Remove Duplicates, Merge, Lookup, used extensively Reject Link, Job Parameters, and Stage Variables in developing jobs. - Developmental efforts were in the reengineering of the ETL processes using the Orbiter for Data Integration, Data Migration and Data Cleansing.