archimate , Microservices, Docker, Microsoft Azure, Python, AWS, Google Cloud Platform, Apis, Devops, Uml, Kubernetes, Compliance requirements, Embedding, Draw.io, LangGraph, Hybrid-search architectures, Lucidchart, LangChain, Distributed-system architectures, Chunking, Retrieval pipelines, Enterprise integration patterns, Enterprise governance, Responsible AI principles, CI/CD pipelines, Document ingestion, Cybersecurity best practices, Indexing

archimate , Apis, Microservices, Devops, Gcp, Uml, Docker, Azure, Python, Kubernetes, AWS, Lang Chain, Draw.io, Lang graph workflow, Responsible AI principles, Lucidchart, CI CD pipelines

Apis, Microservices, Devops, Python, LangChain, Architecture Design, monolithic and distributed system architecture, Responsible AI principles, Langgraph workflow, integration patterns, cloud-native services, cybersecurity best practices, compliance requirements

data engineering , Power Bi, Databricks, Microsoft Azure, Data Warehousing, Data Analytics, Generative AI, LLMs and AI Agents, Data Lakehouse architectures, AI Governance and Responsible AI, Azure AI Foundry, ETL ELT platforms, Synapse Analytics, Microsoft Fabric, Prompt Engineering, Business Intelligence, Master Data Management

data engineering , Power Bi, Databricks, Data Warehousing, Microsoft Azure, Data Analytics, Generative AI, LLMs and AI Agents, Data Lakehouse architectures, AI Governance and Responsible AI, Azure AI Foundry, ETL ELT platforms, Synapse Analytics, Microsoft Fabric, Prompt Engineering, Business Intelligence, Master Data Management

data engineering , platform management , Custom Software Development, Artificial Intelligence, Solution Development, Computer Engineering, Data Intelligence, Generative AI, Technical Skills, Deployment Plan, Language Models, Cloud Native Architecture, technical guidelines, Education, Liaising with cross functional teams, Collaborate With Internal Team, Solutions Sales

containerization , Microservices, Graphql, REST, CI CD pipelines, MLOps tools, MLflow, Kubeflow, AI platform integration, GRPC, API-driven systems, AWS SageMaker, data pipelines, model orchestration, end-to-end AI workflows, LangChain, API architecture, Microsoft Azure ML, serving APIs, cloud-native architectures, LangGraph, cloud-based AI services

messaging platforms , Java J2ee, Kafka, Spring Boot, Microservices, MLops, Enterprise Integration, Data Lake, Distributed Systems, Databricks, Restful Apis, Azure, AWS, Generative AI, Vector databases, Unity Catalog, Delta Lake, AI APIs, Lakehouse architecture, AI orchestration, Event-driven architectures

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Solution architecture, Cloud Computing, Api Integration, Machine Learning, Software Engineering, Generative AI, AI Agents, Model deployment, Model fine-tuning, Vector databases, Production Operations, Cloud-native AI architectures, AI workflow orchestration, Inference optimization, Prompt Engineering, Observability

bedrock , MLops, SageMaker, Generative AI, AgentCore, Agentic technologies