snowflake , Hadoop, Spark, Databricks, AWS Bedrock, pgvector, RAG systems, vector databases, Pinecone, Azure OpenAI, GPT, FastGPT, GCP Vertex AI, LLM fundamentals, Qwen, Dify, LangChain, CrewAI, PEFT, fine-tuning, LLaMA, ClickHouse, embedding models, prompt engineering, model architectures, LoRA, Milvus, LlamaIndex

Endpoint Security, Power Bi, Power Automate, Outlook, Power Platform, Exchange Online, Microsoft Intune, Microsoft 365, Endpoint Management, Microsoft Teams, Microsoft Entra ID, Windows Autopilot, Power Apps, Active Directory, OneDrive, collaboration technologies, Microsoft Purview, Microsoft Defender, Sharepoint, conditional access

Hadoop, Power Bi, Pyspark, Azure Databricks, Data Warehousing, Sql, Azure Synapse, Azure Data Factory, Spark, Azure Data Lake, ETL ELT processes, Data ingestion and transformation, Delta Lake, CI CD practices

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

object storage , VMware, Scsi, Storage Systems, Virtualisation, Networking, Fibre Channel, Sap Hana, Terraform, Oracle, AWS, Cloudformation, Microsoft 365, Gcp, Ansible, Commvault, Azure, Kubernetes, Iscsi, Hyper-V, Linux OS administration, data archive, cloud-native technologies, container platforms, enterprise backup and recovery software

.NET, Full stack development, Angular, Microservices, React, Application Architecture, Docker, Microsoft Azure, AWS, Java, Google Cloud Platform, Node.js, Devops, Vue.JS, Restful Apis, Kubernetes, Infrastructure as Code, Containerization technologies, Microservices APIs, Cloud-native architectures, AI-enabled development automation platforms, Modern engineering productivity tools, Infrastructure automation, Enterprise integration patterns, CI/CD pipelines, Platform engineering practices, Event-driven architectures

Servicenow, Github, SAP, Apis, Power Automate, Power Platform, Azure DevOps, HTTP actions, Microsoft Entra ID, DLP policies, Dataverse, Dynamics, Agent Factory or similar AI operationalization frameworks, Azure AI or related technologies, Azure AI Search, Power Platform Pipelines, Azure Monitor, Application Insights, Microsoft certifications in Power Platform, Microsoft Copilot Studio, Hybrid vector retrieval, CI/CD practices

DataBricks, Devops, MLops, Containers, Gcc, Azure, AWS, GenAI, Agentic AI, PaaS platforms, Mcc

Aws Rds, MS SQL, PostgreSQL, Azure, Python, Azure Sql, Fme, AWS, ArcGIS Enterprise

.NET, Java, Containers, Azure, Kubernetes, AI workloads, Azure PaaS, Microsoft Foundry, secure networking, AKS, GHCP