data modeling concepts, scalable data architectures, Databricks Unified Data Analytics Platform, data integration techniques, cloud-based data processing and analytics solutions, distributed computing frameworks

AWS, Cloudformation, Python, Bash, Azure, Terraform, Google Cloud, MLops, LangChain, Amazon Kendra, OpenSearch

Power Bi, Tableau, Aws

data engineering , snowflake , Gcp, Data Architecture, Databricks, AWS, investment data domains, Data APIs

Sql, Restful Apis, Python, Azure DevOps, LangChain, API-first design, AI ML solutions, RAG architecture, vector databases, scalable and distributed systems, Microservices architecture, prompt engineering, Semantic Kernel, software engineering frameworks, CI CD pipelines, LLM frameworks, cloud-native application development

Unix, Tcp, PowerShell, Bash, Dns, Http, Windows, Gcp, Terraform, Linux, Microsoft Azure, Arm, Python, Azure DevOps, AWS, Ip, Infrastructure-as-code, Bicep, Azure CLI

Cloud AWS, Devops, Azure, virtualized Hosting platforms, multi-cloud platforms, converged and hyper converged platform

Power Bi, Sql, Azure Data Factory, Azure, Python, Azure DevOps, Airflow, Data Pipelines, Great Expectations, Azure Key Vault, CI CD, GitHub Actions, R, Data Quality Framework, rbac, Microsoft Fabric, SoDA

Azure, Terraform, Azure DevOps, CI CD pipelines, GitHub Actions, observability tooling, Bicep, SRE principles, cloud security controls

bedrock , Docker, Flask, Python, AWS, Gcp, FastAPI, Kubernetes, Prompt engineering, LLM integration, OpenAI Platform, LangGraph, RAG Retrieval-Augmented Generation, Embeddings, Vertex AI, semantic search, LangChain, Generative AI, Karat Completion, GKE, RAG Pipelines, Semantic Kernel, EKS, OpenAI, LlamaIndex