Swapnil Kothari
Senior Manager - Data Strategy and Modelling at Tal Australia
Based in Sydney, Australia
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Seniority
Manager
Department
Information Technology
Location
Sydney
Industry
Insurance
Company size
2.8K
Contact information
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s•••••••@tal.com.au
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Background
About Swapnil Kothari
Data Analytics Solution Architect: • 15 years of experience in Data Analytics Strategy, Consulting and Delivery • Enabling organisations in their transformation journey through Data • Data Strategy for mergers and acquisitions, consolidations, digital transformation, customer experience, performance optimization and regulatory programs • Successful implementation of enabling Self Service BI platform on Azure as part of digital transformation programme at Australia's leading car leasing company • Built Enterprise Data Models aligned by business domains • Leading the Data Modelling Community of Practice across lines of business, Designing/building domain aligned data products • Successful cutover/migration of data platform from one of the largest Life Insurance acquisition in Australia • Successful implementation of data models and delivery from Australian Life Insurance Regulatory reporting at TAL • 2+ years of experience as a Data Strategy Architect, helped a not-for-profit UK organization in IT Transformation journey • 3+ years of experience in Wells Fargo (Top US Bank), working on Data Strategy programmes for consumer lending line of business • Helping organizations in achieving business goals and transform by enabling through Technology and specifically Data Analytics • Designed and Built data analytics platforms that include Data Warehouse on Cloud (Azure), On-premise (SQL Server and Teradata), Master data management, Enterprise scale Data Lake on MapR platforms • Built and delivered Cloud native architecture for Data Analytics using Azure IaaS, Analytics using Azure Analysis Services (PaaS) and Power BI for self service BI • Usually oversee whole program from inception till service delivery. Conducting user workshops to analyze requirements, to modelling and delivering analytics platforms Technologies: Azure IaaS (SQL on Azure VM, Data bricks, Polybase clusters) Azure PaaS (Azure Analysis Services, Azure Data Factory, Azure SQL DB) Big data (MapR, HIVE, DRILL, HBASE) Traditional (SQL Server, Teradata) Business Intelligence (Power BI, Tableau, SSRS) Data Architecture and Modelling (Microsoft Master Data Services, SAP Power Designer, Visio) Strengths- Collaboration, Negotiation and Partnering capabilities- Good Analytic skills and deep understanding of BI and functional Modeling, Scope management, build teams.
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