Jaipal Singh Kumawat
About
Jaipal Singh Kumawat is from Gurgaon, Haryana, India. Jaipal Singh is currently Vice President of Big Data Analytics & Engineering at Mastercard, located in Gurugram. In Jaipal Singh's previous role as a Director of Big Data Analytics & Engineering at Mastercard, Jaipal Singh worked in Gurugram until Feb 2026. Prior to joining Mastercard, Jaipal Singh was a Manager at Mastercard and held the position of Manager at Gurugram, Haryana, India. Prior to that, Jaipal Singh was a Enterprise Data Architect at Mastercard, based in Gurugram, Haryana, India from Nov 2018 to Aug 2020. Jaipal Singh started working as Senior Analyst at Mastercard in Gurgaon, India in Sep 2014. From Aug 2013 to Aug 2014, Jaipal Singh was Consultant at Mastercard, based in Gurgaon, India. Prior to that, Jaipal Singh was a Sr. Software Engineer at L&T Technology Services Limited, based in Mumbai Area, India from Mar 2012 to Jul 2013. Jaipal Singh started working as Sr. Software Engineer at IGATE in Mumbai Area, India in Apr 2010.
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Jaipal Singh Kumawat's current jobs
Jaipal Singh Kumawat's past jobs
• Working experience in various business domains in Payments which includes Cyber and Intelligence, Advisors, loyalty, and Enterprise Data Architecture, Analytics. • Currently working in the Cyber and intelligence domain. • Good understanding of payments data (Authorization, Fraud, chargeback, Clearing, etc.) and services. • Designing business intelligence systems • Creating scalable analysis and insights to address Cyber and intelligence products and services business needs • Designed and built- sales enablement platform to help presales, during sales, and post-sales engagements with issuers, acquirers, and merchants with 1 click ready to use sales collaterals • Designed and built scalable solutions to generate multi-million dollar revenue streams using analytics and insights • Integration of information from disparate systems e.g. Hadoop, Salesforce, Oracle, SQL, Tabular models, MasterCard acquisitions data, products, and service data to prepare the data for the sales enablement platform. • Project, stakeholder, and team management • Innovation
• Working experience in various business domains in Payments which includes advisors, loyalty, and enterprise data architecture, Analytics. • Currently working in the Cyber and intelligence domain. • Good understanding of payments data (Authorization, Fraud, chargeback, Clearing, etc.) and services. • Designing business intelligence systems • Creating scalable analysis and insights platforms to address Cyber and intelligence products and services needs • Designed and built a sales enablement platform to help presales, during sales, and post-sales engagements with issuers, acquirers, and merchants with 1 click ready to use sales collaterals • Build and designed systems to generate automated analysis Decks/PDFs for the issuers, acquirers, and merchants on their portfolio analysis along with benchmark and peer comparison. • Designed and built scalable solutions to generate multi-million dollars revenue streams using analytics and insights • Integration of information from disparate systems e.g. Hadoop, Salesforce, Oracle, SQL, Tabular models, MasterCard acquisitions data, products, and service data to prepare the data for the sales enablement platform. • Project, stakeholder, and team management
Enterprise Data Platforms - Data architect: Database platform tool evolution. Use case Implementation on Graph DB on payments transactions.
Analytics, Business Intelligence and Data warehouse professional worked on payment and loyalty domain and delivered multiple scale-able projects.
Analytics, Business Intelligence, and Data warehouse professional. Issuer, Acquirer, and Merchant analytics for their operational performance on Authorization, Fraud, and Chargebacks. Developed platform and framework to scale the analysis to generate the monthly deliverables for customers( Issuers, Acquirers, and Merchants).
Worked as Business Intelligence and data warehouse professional: key responsibilities: Requirement analysis, Managing Reporting, and data to support around 25 markets(countries) of Scania international. Value addition to the customer by automated manual work of data load monitoring activities for 11 applications using BI technologies. created a platform to get all the insights from different servers for data load activities. This saved significant manual effort and helped in reducing monotonous work for the team
Business Intelligence and data warehouse sr. professional: Achievements: SME for business intelligence on Reporting tools ( Business Objects, Hyperion, SSRS, OBIEE) key responsibilities: Requirement analysis, Data modeling, Development and deployment of Dashboards and Reports SSRS, Hyperion, Business Objects. Database object creation in SQL server, ETL designing, and solution development on SSIS. Played a key role in developing Proof of concepts for RFPs for BIDW projects Description: Worked on multiple domains which include - reinsurance, Energy, and Manufacturing. Delivered multiple key projects which are crucial for the company engagements.
Business Intelligence and Data warehouse sr. professional: Knowledge building: Learned new tools which are required to perform the project jobs - Microsoft Business Intelligence platform (SSIS, SSRS, SSAS) and Hyperion. Key Responsibilities: Requirement gathering on Dashboards in Hyperion and SSRS Successfully delivered multiple projects on time with quality for the re-insurance customer. Effective analysis of different stages of the re-insurance process to show the impact of reinsurance deals. Talent development: Trained new team members on the tools and technologies
Business Intelligence and Data warehouse trainee. Knowledge building and hands-on training on BIDW and learned technologies - Informatica, Business Objects, Cognos, SQL server to perform project jobs.