Microservices, Azure cloud-native architecture, Large-scale system modernization, Governance compliance architecture, Performance scalability design

data engineering , snowflake , Kafka, AI ML, Gcp, MLops, Spark, Data Governance, Databricks, Azure, Python, AWS, GenAI, Data AI, data platforms, Go, streaming analytics, Flink, Llm, data lakes, DAMA-DMBOK principles

Enterprise Architecture, Solution Architecture, Cloud Engineering, COTS solutions, Public cloud services, Microservice architectures, Digital Data Security

Public Cloud, solution architecture, Enterprise Architecture, technical consulting, Gcp, Cloud Architecture, Private Cloud, Software Engineering, Azure, AWS, AI tools, scopes of work, delivery plans, data platforms, Ai, hybrid environments, on-premises infrastructure, assumptions, risks, RFP responses, exclusions, Estimates

.NET, SQL Server, ASP.NET, Azure

MLops, AWS, LLMs, multi-modal FMs, Vector DBs, FM evaluation, distributed inference of LLMs, RAG, prompt context engineering, Agentic workflows, fine-tuning LLMs, AI solutions

Distributed Systems, Api Management, Design Patterns, Data Integration, DevSecOps, Application Security, Restful Apis, Event-Driven Architecture, SQL Databases, Enterprise Integration Patterns, Software Architecture Principles, Infrastructure Automation, NoSQL Databases, Microservices Architecture, Enterprise Data Architecture, Observability

data warehouses , Azure, Angular, AWS, Java, Gcp, React, Data Flows, Ai, Generative AI, Data Lakes