Prabhakar Kumar

Client: A leading U.S.-based biotech firm

• Agile Program Delivery oversight across Data Management, Operations, and Change Management
• Team leadership for 35 technical experts across Commercial & Medical data programs
• Omnichannel analytics including Paid Media, CRM, Web, Field Force, MTA, NBA
• Data governance and application security aligned with HIPAA, GDPR, CCPA
• Stakeholder management and client alignment for program success
• Scaled Agile delivery using SAFe, LeSS, and DAD methodologies

Client: A major pharma & healthcare company in the EU

• Project planning and coordination across cross-functional data and analytics teams
• Snowflake data warehouse migration and architecture for global healthcare systems
• Data modeling and governance aligned with HIPAA and regulatory standards
• BI and dashboard implementation using Tableau, Power BI, SAP Lumira, and QlikView
• Collaboration with data engineers, data scientists, and business analysts for aligned delivery
• Vendor and contract management for data infrastructure and analytics tools

• Agile project delivery for Snowflake data platform migration and BI implementation
• DevOps integration with CI/CD pipelines for scalable and secure data deployments
• Optimization of Snowflake architecture to support real-time event analytics and reporting
• BI visualization using Tableau, Power BI, SAP Lumira, and QlikView for operational insights
• Collaboration across engineering, analytics, and business teams for sprint-based delivery
• Governance and DevSecOps compliance aligned with GDPR and guest data protection

• Agile project delivery for Snowflake data platform migration and BI implementation
• DevOps integration with CI/CD pipelines for scalable and secure data deployments
• Optimization of Snowflake architecture to support real-time event analytics and reporting
• BI visualization using Tableau, Power BI, SAP Lumira, and QlikView for operational insights
• Collaboration across engineering, analytics, and business teams for sprint-based delivery
• Governance and DevSecOps compliance aligned with GDPR and guest data protection

Client: A major international airline company

• Microservices-based application development on AWS and Azure with fault-tolerant architecture
• Migration of legacy systems to Docker and Kubernetes with RESTful and GraphQL APIs
• CI/CD pipeline setup using Jenkins, GitLab, Terraform, and Ansible for automated deployments
• Agile project management using Scrum and Kanban with focus on SLA-driven delivery
• Event-driven architecture design using Kafka and RabbitMQ for real-time data streaming
• Application security via OAuth, JWT, and API Gateway aligned with GDPR and aviation standards
• Cross-functional collaboration across business, technology, and third-party vendors
• Performance monitoring through APM tools like New Relic, Dynatrace, and Prometheus

• End-to-end project lifecycle management for mobile application development
• Frontend development oversight using React Native and ReactJS for responsive UI/UX
• Backend integration with NodeJS for seamless performance and data flow
• Team coordination across two development units focused on delivery and innovation
• Stakeholder engagement for requirement gathering, updates, and alignment with business goals
• Testing and QA governance covering performance, security, and scalability benchmarks
• Compliance with financial regulations including data protection and BFSI security standards
• Collaboration with external vendors for technical components and service delivery

Client: A global pharmaceutical and life sciences company

• Data strategy alignment with healthcare business objectives across clinical and commercial functions
• Data pipeline design for large-scale collection, integration, and storage from diverse sources
• Development and maintenance of advanced data models and analytics workflows
• Implementation of data governance practices ensuring compliance with HIPAA and GDPR
• Management of structured and unstructured healthcare datasets for accuracy and security
• Analytical reporting and dashboard development to support R&D, market analysis, and patient outcomes
• Evaluation and adoption of new technologies and tools for data engineering and visualization
• Cross-functional collaboration with IT, clinical, and marketing teams for integrated data solutions