Jitendar V.

About Jitendar V.

I am a Senior Data Architect with over 22 years of experience designing and modernizing enterprise data ecosystems across telecom, insurance, banking, energy, and manufacturing domains.At Capgemini, I currently lead the data architecture and modeling initiatives for a US-based telecom leader, architecting scalable data platforms using AWS Cloud, Athena, and SAP PowerDesigner.Earlier at Capgemini, I worked with a US Insurance Marketplace client, where I built a cloud-native data architecture on Azure Synapse and Databricks. This platform enabled a self-service analytics marketplace that reduced report generation time by over 80%, empowering business users with faster, more flexible insights across seven business domains.I’ve previously worked with E.ON Energy Trading (Germany & UK) and RBS Global Banking & Markets (London) through Publicis Sapient, and also served as Director at Ajooni, where I led enterprise data initiatives, built data warehouses, and unified cross-functional reporting ecosystems.My expertise spans data modeling (Star, Snowflake, and Lakehouse), enterprise data architecture, cloud migration (AWS, Azure), ETL and data governance frameworks, and metadata management.Currently pursuing an M.Tech in Artificial Intelligence from IIT Jodhpur, I’m expanding my expertise to integrate AI/ML into data pipelines for predictive analytics and intelligent automation.Open to global opportunities (UK | EU | Japan) where I can contribute to modern data architectures that combine scalability, governance, and AI-driven insights.

Experience

1. Senior Manager Senior Data Architect

   Capgemini

   Jan 2024 — Present

   Client: US Telecom GiantJan 2024 – Present• Leading enterprise data modeling and architecture using SAP PowerDesigner on AWS Cloud.• Designed a scalable data ecosystem leveraging AWS Athena, S3, supporting cross-domain data sharing and analytics.• Established metadata management and governance frameworks to enhance data traceability and lineage.• Collaborating with business stakeholders to align technical models with evolving telecom operations and data strategy goals.Client: US Insurance MarketplaceJan 2023 – Dec 2023• Designed and implemented Azure Synapse + Databricks architecture for a multi-domain self-service analytics environment.• Reduced reporting time from hours to minutes by enabling direct data access for business users.• Created reusable data models and domain-specific schemas for marketplace transactions, policy, and claims.• Delivered seamless integration between operational data stores and analytics layers, improving speed and flexibility of insights.

Education

• University of Colorado Denver

  Data Warehousing for Business Intelligence Specialization, Data Modeling/Warehousing and Database Administration

• IIMT

  Master of Computer Applications - MCA

• Indian Institute of Technology Jodhpur

  M.Tech, Artificial Intelligence