Spark, Sql, Databricks, Devops, AWS, Cloudformation, Python, Azure, Gcp, Terraform, ModelOps, DataOps, CI CD, Posit

.NET, .Net Core, .NET 8, .NET 6, .NET Framework, S3, RDS, Dynamodb, Vpc, Lambda, Ec2, Docker, ECS, Iam, Aws Cloud, Kubernetes, Api Gateway, DevOps practices, Service Discovery, EKS, microservices architecture

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, vector databases, MLflow, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

VMware, virtualization, Storage, Data Center Infrastructure, Gcp, Terraform, automation, Arm, Azure, Kubernetes, AWS, Hyper-V, FinOps, cloud operations frameworks, Monitoring, IaC, business continuity solutions, hybrid architectures, Backup DR, Bicep, cost management, Compute

Microservices, Spring Framework, Spring Boot, Java, Azure, PostgreSQL, Rest Apis, Kafka, Event Hub

Adb, Android Studio, C, C++, Fastboot, and Java

Python, Gen AI, GenAI architecture, ML algorithm, Llm

containerization , AI ML, MLops, AWS, Data Architecture, Python, Azure, Gcp, Apis, cloud platforms, privacy governance, Security, AI ML frameworks, scalable deployment architectures, system integration patterns, responsible AI principles, solution governance

Pyspark, Sql, Azure Synapse Analytics, Azure Data Factory, Apache Spark, Azure Databricks, Spark SQL, Python, Terraform, ARM Templates, Real-Time Data Processing, Azure Data Lake Storage, Data Mesh, Delta Lake, Infrastructure as Code, Event-Driven Architectures, Structured Streaming, Lakehouse Architecture, Medallion Architecture