Founder & CEO | Principal Platform Architect | Data + DevOps + ML Enablement
As the founder of Next Generation Data Analytics LLC, David Walters brings 15+ years of executive-level experience in architecting enterprise-scale data platforms and leading digital transformation initiatives across the automotive and industrial sectors.
His vision is clear: empower organizations to unlock the full potential of their data assets through modernized infrastructure, intelligent automation, and strategic innovation. Under his leadership, NGDA delivers cloud-native solutions that transform complex legacy systems into competitive advantages — enabling real-time analytics, machine learning capabilities, and operational excellence that drive measurable business outcomes.
"At Next Generation Data Analytics, we believe that every organization deserves access to world-class data infrastructure. Our mission is to bridge the gap between business strategy and technical execution — helping companies modernize their data ecosystems, optimize operational costs, and empower their teams through intelligent automation and actionable insights."
15+ years of driving digital transformation in automotive and industrial sectors
Founded a consulting firm specializing in data analytics, AI implementation, cloud solutions, and platform development. Helping businesses transform their data infrastructure and leverage modern technologies for competitive advantage.
Leading platform architecture initiatives for automotive mobility solutions, designing scalable systems for the next generation of vehicle technology.
Designed and implemented a robust, cloud-native data platform delivering comprehensive services including:
Led the migration of the Data Platform from Windows-based to a fully containerized, Linux-based (Ubuntu) ecosystem, significantly enhancing performance, scalability, and reliability.
Architected and developed the Distributed ADAS Data Analytics (DADA) Platform — an advanced monitoring and analytics framework for high-performance computing (HPC), virtual desktop infrastructure (VDI), and storage systems.
The platform delivers near real-time analytics and actionable insights into globally managed ADAS IT infrastructure, empowering teams to optimize operations and performance.
Developed a robust Python application framework to automate the algorithm integration release process, streamlining configuration, build, and testing workflows for release checkpoints.
The framework's success resulted in a measurable increase in both the volume and quality of algorithm software release checkpoints, ensuring timely and reliable delivery to customers.
Designing scalable, cloud-native data platforms with integrated analytics and ML capabilities
Enterprise system migrations to containerized, cloud-native architectures
CI/CD pipelines, infrastructure-as-code, and automated data workflows
Building platforms that enable machine learning and advanced analytics
With extensive experience in the automotive sector, including roles at Continental AG and AUMOVIO, I specialize in digital transformation initiatives that modernize legacy systems and enable data-driven decision making.
Ready to transform your data infrastructure and accelerate your digital transformation journey?