data products , adoption , Data Management, Data Analytics, change management, Digital Transformation, branding, enablement, GenAI, Ai, Learning, Technology Marketing, enterprise learning programs, Stakeholder Management, cloud data platforms, Data Mesh, communication

snowflake , Cloud, Databricks, Generative AI, Client pitches, Technology-led sales pursuits, LLM governance frameworks, Data platform modernization, GraphRAG, Agentic AI, AI data governance, Enterprise AI architecture patterns, RAG, Knowledge graphs, MCP-based integrations, AI governance, AI ML Data platforms, Trusted AI adoption, Proposal development

Java, Github, Linux Shell Scripting, Ibm Cloud, Jenkins, React, Git, Typescript, Gcp, Docker, Terraform, Ansible, Openshift, Azure, Python, Kubernetes, AWS, Go, Podman, CI/CD

API design, Microservices, Gcp, MLops, DevSecOps, Terraform, Kubernetes, cloud networking, GenAI, GKE, AI Agents, Ai, CI CD, Monitoring, Vector Databases, rbac, Vertex AI, LLM frameworks, event-driven architecture, observability, RAG architectures

.NET, React, Azure, Sql, Functions, Microsoft AI tools, Durable Functions, Microsoft Azure services

DevSecOps, Incident Management, AI ML Data Science capabilities, security engineering, design and implement adversarial test plans, application and infrastructure penetration testing, application and infrastructure vulnerability management, analyze security threats and vulnerabilities

automation technology , rate management , containerization , Infrastructure As Code (IaC), Api Management, Networking Concepts, Cloud Devops, Gcp, Database Management, Serverless Computing, Azure, Virtualization, Bill Analysis, Edge Computing, Performance Optimizations, FinOps, Cost Optimization, Disaster Recovery, System Monitors, Cloud Architectures