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The Composable CDP Architect: Building Privacy-First Customer Data Platforms for the Modern Enterprise

Karthikeyan (Karthik) Rajasekaran

Karthikeyan (Karthik) Rajasekaran is a distinguished Principal Engineer and Enterprise Architect with over 20 years of exemplary experience delivering transformational outcomes through innovative technology strategies, scalable systems architecture, and AI/ML-powered enterprise platforms. With dual Master’s degrees in Computer Science and Mathematics from the prestigious Indian Institutes of Technology (IIT Kharagpur and IIT Madras), Karthik has consistently demonstrated technical brilliance and strategic leadership across high-impact roles in the United States and internationally. Currently based in California, Karthik leads groundbreaking initiatives at Ancestry.com, where he architects intelligent enterprise systems that drive marketing efficiency, customer retention, and regulatory compliance at scale. His recent innovation—a Retrieval-Augmented Generation (RAG) system built using LangChain and LangGraph—has significantly improved the contextual accuracy of Customer Support responses by 40%. Under his leadership, the platform modernization effort at Ancestry delivered $2M+ in marketing gains and an additional $500K in annual savings through proprietary, scalable event processing solutions built using Apache NiFi. Karthik’s work exemplifies cross-disciplinary excellence, integrating AI/ML, cloud-native systems, and marketing technology into unified, enterprise-grade solutions. He spearheaded the development of GDPR-compliant frameworks, including the User Data Deletion Service (UDDS), ensuring regulatory alignment across global platforms. His expertise in AWS (Neptune, Lambda, Redshift), Salesforce APIs, Terraform, and Kubernetes allows him to seamlessly align architectural vision with business imperatives. Prior to Ancestry, Karthik held pivotal roles at Mitchell International and AudaExplore, where he engineered microservices ecosystems, enterprise authorization services, and intelligent monitoring tools that reduced downtime by 75%. At AudaExplore, he was instrumental in owning the full SDLC for the Repair Status Application—accounting for over 50% of platform revenue—while leading cost- saving migrations and multi-product integrations post-acquisition. His DevOps innovations, such as voice-controlled deployments using Alexa and AWS Lambda, were among the early examples of operational AI at scale. Throughout his career, Karthik has showcased technical leadership in guiding teams through complex, cloud-native transformations. His work at IBM India, particularly on the Saint-Gobain manufacturing system, earned him the prestigious “Top Contributor” title for delivering zero-defect, multi-country enterprise rollouts. He was selected for IBM’s prestigious Corporate Service Corps program in 2010, collaborating with international experts and the Egyptian government to modernize national dairy supply chains. Karthik’s innovations have earned him widespread recognition, including the P&T Innovation Award (2024), CEO Award Nomination, and multiple engineering excellence accolades. His projects have resulted in over $1.2M in cumulative annual savings through cloud cost optimization, infrastructure automation, and third-party system retirements. As a mentor and technical leader, he has successfully scaled engineering teams from individual contributors to globally distributed squads, fostering cultures of ownership, innovation, and delivery excellence. Certified in AWS, Secure Coding, and Gen AI, Karthik remains at the forefront of technical evolution. His academic achievements include securing All India Rank 4 in the GATE Mathematics exam and multiple gold medals for academic excellence. He has also contributed to foundational tools and platforms in his early roles with Sun Microsystems (via Wipro), Ford Motor Company, and IBM, demonstrating an enduring commitment to building systems that are both future-proof and business-aligned. Beyond technical acumen, Karthik’s value lies in his ability to envision the larger enterprise landscape—aligning data platforms, AI initiatives, and cloud architecture with organizational strategy. Whether it’s building customer data platforms, driving AI/ML use cases, or leading modernization of legacy stacks, his strategic foresight, hands-on delivery, and commitment to excellence consistently elevate organizational capabilities. In summary, Karthikeyan Rajasekaran stands as an innovative force in enterprise engineering. His ability to architect intelligent systems, deliver measurable impact, and inspire technical excellence marks him as a true leader in the technology domain. His career is a testament to sustained innovation, global impact, and technical mastery, making him an outstanding candidate for prestigious awards and memberships recognizing extraordinary ability in the field of technology.

Description

Because of the fast development of digital ecosystems, there has been an increase in the demand for customer data platforms (CDPs) that are flexible, adaptable, and mindful of privacy concerns. Traditional, monolithic content delivery platforms (CDPs) frequently face challenges when attempting to accommodate the varied data requirements, regulatory compliance requirements, and real-time customisation demands of modern businesses. These difficulties are addressed by the Composable CDP Architect methodology, which enables enterprises to construct communications data platforms (CDPs) that are modular, interoperable, and future-ready, and that promote privacy by design. The separation of data intake, identity resolution, governance, and activation into composable services allows businesses to achieve greater flexibility, lower the risk of being locked in with a single provider, and speed up the time it takes to realize value. The architecture of composable CDPs is investigated in this book, with a particular focus on privacy-first frameworks that combine safe storage, enhanced consent management, and compute algorithms that preserve privacy. The integration with cloud-native infrastructures, AI-driven identity resolution, and regulatory compliance under frameworks such as the General Data Protection Regulation and the California Consumer Privacy Act are also highlighted. In the end, the composable CDP architect offers businesses a blueprint that can be used to integrate fragmented data ecosystems, create trusted customer experiences, and generate competitive advantage in a digital economy that is becoming increasingly sensitive to privacy concerns.

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