Azure Functions, Azure Storage, Python, Sql, Rest Apis, Azure Machine Learning, Azure Document Intelligence, Feature Engineering, Azure API Management, Azure Key Vault, Azure AI Foundry, deployment and monitoring, Azure AI Studio, GPT Models, Azure AI Search, Azure Cognitive Services, LangChain, Generative AI, Azure OpenAI Service, Azure App Services, Model training, Model Evaluation and Optimization, Azure AI, Prompt Engineering

.NET, Prometheus, Grafana, Datadog, Nosql, Jmeter, Docker, Terraform, Sonarqube, Loadrunner, Python, AWS, Java, Bash, Amazon CloudWatch, Sql, Solarwinds, Gcp, Dynatrace, Splunk, Azure, Kubernetes, Go, MLflow, OpenTelemetry, Azure Chaos Studio, AWS Fault Injector, k6, Google Cloud Operations, ArgoCD, Azure Monitor

BigQuery, Dataproc, Sql, Jenkins, Cloud Storage, Terraform, Sonarqube, DataFlow, Python, Logging, Cloud Functions, Cloud Build, Cloud Monitoring, GitHub Enterprise, Pub Sub, GitHub Actions, Cloud Run, Dataplex, Vertex AI

Servicenow, Monitoring Tools, Sql, Agile, Scrum, Kubernetes, DevOps practices, platform engineering solutions, NoSQL databases, cloud platforms, roadmap execution, observability platforms, containerized platform environments

Tensorflow, Pytorch, Data Science, Python, AWS, Sql, MLops, Spark, distributed data lakes, embeddings, tool use, hyperparameter optimization, agentic systems, guardrails, orchestration frameworks, agent evaluation, LLMs, LLMOps, production ML systems, retrieval-augmented generation, context engineering, multi-step workflows, applied machine learning, feature engineering, Amazon Bedrock, function calling

data engineering , application infrastructure , Cloud Computing, Waterfall, Digital Transformation, Tableau, JIRA, Agile, Scalability, Power Bi, Agile Methodologies, SQL Server, AI ML, As400, Big Data Analytics, Performance, Azure, Blue Yonder, Project Estimation, Data technologies, Kanban, Sharepoint, Availability, Security Architecture, MS Project, Reliability

snowflake , BigQuery, Machine Learning, Sql, Google Cloud, Tensorflow, Data Science, Pytorch, XGBoost, Spark, Databricks, Azure, AWS, LangChain, Scikit-learn, Ai

Sql, Ml, MLops, Ha, Gcp, Microservices, Autoscaling, AWS, Kubernetes, Python, Azure, Docker, Apis, blue green, LLMs, cloud security standards, Ai, GenAI, CI CD, RAG, cloud-native architecture, deployment strategies, vector databases, observability, serverless, canary