Hello, I'm
Designing enterprise intelligence at the intersection of AWS Cloud, Snowflake, Databricks & Generative AI
I'm Ganesh Kumar, a Solutions Architect at Zeb Consulting — specializing in AWS cloud architecture, data platforms, and AI/GenAI solutions with hands-on experience designing secure, scalable, and cost-optimized systems in production environments.
My work focuses on building end-to-end cloud architectures aligned to the AWS Well-Architected Framework — covering cloud strategy, large-scale migrations, high availability, modern data lakehouse platforms, and AI/GenAI enablement on AWS.
I'm AWS Certified Solutions Architect – Professional, with additional certifications across Databricks, Snowflake, and GenAI. I enjoy working at the intersection of cloud engineering, data architecture, and AI innovation.
End-to-end enterprise data lakehouse using Medallion Architecture — Bronze/Silver/Gold layers on AWS S3 + Databricks Delta Lake, with Redshift as the curated analytics layer. Incorporates Lake Formation for fine-grained governance and Kinesis for real-time streaming ingestion.
Production agentic workflow system built on Amazon Bedrock using Model Context Protocol (MCP). Enables autonomous AI agents to query data warehouses, generate reports, and trigger actions.
End-to-end MLOps framework on Databricks with MLflow experiment tracking, automated model retraining, Delta Lake feature store, and CI/CD deployment pipelines.
Modern analytics platform with Snowflake data sharing, automated cost governance, and self-service analytics layer — reducing infrastructure spend significantly.
The original 2019 geospatial web platform that started this journey. Interactive Leaflet.js mapping with GeoJSON layers, deployed on GitHub Pages.
Deep dive into architecting production-grade GenAI solutions on AWS — covering Amazon Bedrock, agentic workflows with Model Context Protocol, and real-world enterprise deployment patterns.
Hands-on workshop on implementing Bronze/Silver/Gold Medallion architecture with Databricks Delta Lake — covering data quality, governance, and performance optimisation.
Architecture discussion on cost-optimised, scalable data platforms on AWS — covering common anti-patterns across Glue, Redshift, Lake Formation and proven enterprise design approaches.
Strong foundation in computer science fundamentals — algorithms, data structures, databases, and software engineering. Developed early interest in data systems and cloud computing that led to a career in data engineering and architecture.
Whether you're looking for a Solutions Architect, want to discuss data platform strategy, or geek out about GenAI on AWS — I'm always open to a great conversation.