Data Modeller

Brings over a decade of comprehensive experience across Insurance, Finance, Health, Telecom, and Product domains, delivering data-driven solutions in analytics and product management. Recognized for strong techno-managerial capabilities, led the development of innovative, end-to-end solutions across industries. Core strengths include architecting, designing, and prototyping complex, scalable, and resilient platforms for modernization, data analytics, data migration, and data integrationalways with a focus on building future-ready systems. Enhancing expertise by conducting POCs in Data Vault modeling.

Key Responsibilities:

• Extensive knowledge in all phases of Data Architecture & Data warehouse design which includes Data Analysis/Profiling, Master Data Management, Logical & Physical Data Modelling for enterprise layer and Dimensional Modelling using Star/Snowflake schemas, ETL Mapping & ETL design is always an add-on to the team. Understand and translate business needs into data models supporting long-term solutions for Data Lake. Work with the Development team to implement data models, build data flows and develop conceptual data models. Delivered the single customer view solution for commercial insurance client; by creating the multiple LOB generic insurance pricing data model, data architecture design & led the implementation of the party model in snowflake Use data analysis to make recommendations for standardization and proper data usage. Prepared Physical Data Model based on requirement and data analysis and presented to client for review. Creation of architecture documents, data models, data mapping, Metadata. Worked as a part of the review and collaboration sessions regarding business processes, canonical (BOM) modeling. Profile the source system data to identify the business process and business requirement with operational system data. Designed/captured the business processes & then mapped them to the conceptual data model Understand and experience in process improvement, normalization/de- normalization, data extraction, data cleansing, data manipulation