Cloud Architecture
Azure, Google Cloud & AWS platforms designed for security, scale & clarity.
Cloud Architecture · Data Platforms · AI
I help enterprises design trusted data & AI platforms that create room for meaningful progress.
With 12+ years in cloud, data, and AI architecture, I design enterprise platforms across Google Cloud and Azure that are built to scale, evolve, and deliver measurable business value. I focus on turning complex technology landscapes into clear, practical architectures.
My work spans Data Mesh and Lakehouse architectures, Databricks, data governance, secure data sharing, and self-service platforms. I bring together architecture, engineering, and governance to help teams move faster without compromising security, quality, or control.
I lead cloud transformation and multi-cloud initiatives, using Terraform and platform engineering to automate delivery and improve efficiency. I combine hands-on engineering with strategic architecture to build secure, resilient, and cost-conscious platforms aligned with business priorities.
Leading strategic AI-enabled cloud adoption, data architecture, & cross-platform engineering leadership.
Led enterprise cloud modernization efforts across Azure & GCP, with a focus on scalable data processing & platform migration.
Transitioned into platform engineering, optimizing Hadoop performance, ETL reliability, & enterprise data scalability.
Member of the core big data engineering team supporting Deutsche Bank’s Hadoop-based data platform.
What I do
Azure, Google Cloud & AWS platforms designed for security, scale & clarity.
Architecting trusted data ecosystems with Data Mesh, Data Governance, Data Quality & Self-serve analytics.
Practical AI adoption shaped around business value, governance & trust.
Terraform, DevOps & automation that help teams deliver with confidence.
Madan Mohan Malaviya Engineering College
Electronics & Communication Engineering
Gorakhpur, India