data engineering , Devops, Machine Learning, MLops, Artificial Intelligence, Security Compliance, Api Development, Python Programming, Prompt Engineering, Data Pipeline Development, Risk Management

BigQuery, PostgreSQL, Dataproc, Redis, Nosql, MLops, Docker, Spark, Apache Beam, DataFlow, Kubernetes, LangChain, LangGraph, OpenTelemetry

Docker, FastAPI, Python, Kubernetes, AWS, EKS

test automation, Jenkins, Typescript, Python, Test Architecture, Playwright, API contracts, prompt engineering, service boundaries, GitHub Actions, LLM applications, RAG, backend code, context retrieval agents

Api Management, Uipath, Aws Services, Power Automate, Functions, Rpa Tools, Lambda, Docker, Api Gateway, AWS Bedrock, AKS, Azure OpenAI, AI automation architectures, Azure services, Microsoft Power Platform, CI CD pipelines, container orchestration

Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions

software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, prompt engineering, cloud-native development, AI development frameworks, agentic AI architectures, knowledge and context graphs, semantic models, modern AI methodologies, cloud environments

Java, Nlp, Linux, MySQL, Groovy, Prompt engineering, Conversational AI, NLU

snowflake , Spark SQL, Pyspark, Databricks, Azure, Python, embeddings, LLM API integration, API integration patterns, vector databases, cloud-native delivery, CI CD, prompt workflows, Delta Lake, agent orchestration

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG