Apr 2024 – Present · 1 yr 11 mos

• Technology executive leading PayPal’s strategic modernization of its global data platforms—driving enterprise-scale unification of customer intelligence to power AI personalization, real-time decisioning, and data monetization.
• As the head of Data Engineering & Platforms, I lead a global organization of ~200 engineers across India, the US, and international hubs. My team builds and scales platforms that serve as the backbone for analytics, compliance, financial insights, and customer experiences across the company.
• Key Contributions:
• Enterprise Data Platform Modernization: Architected and delivered next-gen big data infrastructure—transitioning from legacy systems to cloud-native, real-time streaming platforms that support mission-critical operations at scale.
• Unified Customer Intelligence: Led the creation of an integrated customer data foundation across behavioral, transactional, and identity domains—enabling AI/ML-based personalization, fraud detection, and user journey optimization.
• AI-Ready Data Infrastructure: Enabled machine learning use cases through high-quality, accessible, and compliant data, accelerating experimentation and real-time model deployment.
• Cross-Functional Leadership: Act as a strategic partner to Product, Risk, Compliance, and Finance—aligning data capabilities with business goals and regulatory requirements.
• Global Team Leadership: Manage and mentor senior leaders (Directors/Senior Managers); drive org health, execution excellence, and talent growth across a distributed setup.
• Innovation Culture: Foster a culture of innovation, platform reliability, and developer enablement—enabling rapid product iteration and scalable growth.
• Key Technologies & Domains: Data Platforms | AI/ML Enablement | GCP & AWS | Kafka | Lakehouse Architecture | Privacy & Governance | Scalable Microservices | Customer Data Platforms (CDPs)

Oct 2019 – Apr 2024 · 4 yrs 6 mos

• Led the design, development, and scale-out of PayPal’s enterprise-grade operational big data platform—serving as the backbone for internal and external reporting, finance operations, compliance, and global cash management.
• Key Achievements:
• Scaled Mission-Critical Data Infrastructure: Built a resilient and scalable big data platform to support high-volume workloads across PayPal’s global business units.
• Enabled Regulatory & Financial Reporting: Delivered trusted data capabilities that powered compliance reporting, treasury insights, and audit-readiness at scale.
• Business-Centric Platform Engineering: Collaborated with finance, compliance, and risk stakeholders to define platform needs, data SLAs, and observability standards.
• Performance & Availability: Ensured high availability, fault tolerance, and performance optimization for latency-sensitive reporting systems.
• Platform Reliability: Instituted best practices in data governance, pipeline reliability, and operational monitoring across a distributed data environment.
• Stack & Focus Areas: Hadoop | Spark | Kafka | Airflow | Data Governance | Real-Time Analytics | Financial Compliance | Operational Resilience

Apr 2018 – Oct 2019 · 1 yr 6 mos

• Led end-to-end development of core data engineering initiatives, including scalable data pipelines, REST APIs, and platform services that enabled enterprise analytics, reporting, and product innovation.
• Responsibilities & Highlights:
• Designed and delivered large-scale data lakes and distributed pipelines to support analytics, compliance, and business operations across PayPal.
• Built and scaled RESTful API services for data access, enabling internal product teams and analysts to query real-time and historical data efficiently.
• Drove architectural improvements in PayPal’s data warehouse and lakehouse environments to support performance, maintainability, and cost optimization.
• Managed cross-functional engineering teams focused on data ingestion, transformation, and service enablement.
• Partnered closely with analytics, risk, and product teams to define data needs, deliver self-service solutions, and accelerate insight delivery.
• Technical Focus Areas:
• Data Warehousing | Big Data | REST APIs | Hadoop | Spark | Hive | Data Lakes | Analytics Platforms | Software Development Life Cycle (SDLC)

Jul 2014 – Apr 2018 · 3 yrs 9 mos

• Drove the product strategy and execution for PayPal’s next-generation reporting and analytics platform—enabling scalable, self-service insights across global business units.
• Key Contributions:
• Defined the vision, roadmap, and success metrics for a unified analytics platform supporting data-driven decision-making across Finance, Compliance, Risk, and Product teams.
• Partnered with engineering, architecture, and business stakeholders to align platform capabilities with enterprise reporting and regulatory requirements.
• Championed user-centric design for data access, visualization, and reporting—reducing insight delivery time and increasing adoption across key teams.
• Prioritized data quality, lineage, and governance to build trust and transparency in critical business reporting workflows.
• Core Areas: Product Strategy | Enterprise Analytics | Data Platform Roadmaps | Stakeholder Alignment | User Enablement | Data Governance

Oct 2007 – Jul 2014 · 6 yrs 9 mos

• Delivered enterprise reporting solutions and contributed to the development of PayPal’s large-scale data platforms, laying the foundation for business analytics and operational intelligence.
• Responsibilities & Highlights:
• Developed and deployed critical business reports using leading BI tools, enabling visibility into key operational and financial metrics.
• Worked hands-on with large-scale distributed data systems, supporting ingestion, transformation, and presentation layers.
• Collaborated with cross-functional teams to understand data needs, build reusable reporting assets, and ensure data consistency across platforms.
• Contributed to platform performance optimization and data availability for real-time and batch reporting.
• Tools & Technologies:
• BI Tools (Tableau, MicroStrategy, etc.) | Large-Scale Data Systems | SQL | ETL Pipelines | Data Modeling | Reporting Automation | Java