Srimanth Maddipatla is a Big Data and AI Solution Architect with over 19 years of experience designing, implementing, and optimising enterprise-scale data, analytics, and AI platforms. He specialises in Cloudera Data Platform (CDP Public and Private Cloud), Hadoop ecosystems, Apache Spark, Kubernetes, and end-to-end ML platform engineering. His career has focused on guiding organisations through complex cloud modernisation initiatives, legacy platform migrations, and the strategic adoption of AI/ML capabilities at scale.
Srimanth brings deep architectural expertise across the full spectrum of modern data infrastructure. He has led the design and deployment of enterprise data lakes and lakehouse architectures, hybrid cloud solutions spanning AWS, Azure, and GCP, and the governance of multi-petabyte data platforms with compliance, observability, and automation frameworks. His hands-on experience includes building high-throughput data pipelines, implementing MLOps workflows with automated CI/CD and model registry integration, and optimising distributed computing workloads for improved performance.
With experience spanning healthcare and enterprise environments, Srimanth has delivered secure, scalable, and compliant data solutions aligned with enterprise standards. He has architected disaster recovery strategies, led HDP/CDH to CDP transformations, and designed ML scoring services that enable low-latency inference and autoscaling in production environments.
Beyond his technical contributions, Srimanth has authored technical documentation and knowledge base articles on Hadoop and CDP migrations and has led design reviews and technical assessments for digital transformation initiatives. His work bridges executive stakeholders, data scientists, and engineering teams across data governance, security, and scalable AI/ML architecture.
Srimanth holds a Master of Computer Applications from Sri Krishnadevaraya University and a Bachelor of Science in Mathematics, Physics, and Statistics from Sri Venkateswara University.