react.js , Yaml, Data Modelling, Maven, PostgreSQL, Node.js, Json, Microservices, Jenkins, Git, Swagger, Elasticsearch, Containers, Rest Apis, Kubernetes, cloud-native architecture, distributed-system architecture, CI/CD, Java Spring Boot, OpenAPI, observability

Amazon Web Services (AWS), Data Analytics, Software Development, Solution Design, Enterprise Architecture, Networking, Infrastructure, Security, architecture, cloud AI adoption, technical strategy

.NET, messaging platforms , Enterprise Java, BPM, Apis, CSS, Big Data, File Systems, RDBMS, Html5, Rest Apis, Data Integration, Azure, Python, Kubernetes, AWS, Etl, Graph DBs, event processing, low-code hyper automation, Vector DBs

.NET, .Net Core, Java, Golang, Graphql, Spring Boot, AI ML, Angular, React, Vue.JS, MLops, Gcp, Docker, Blazor, Restful Apis, Azure, Kubernetes, Python, AWS

stream processing , CSS, S3, Elastic Search, Software Development, Amazon Web Services, CloudFront, Lambda, Api Gateway, Json, Http, React, Angular, ECS, Apache Kafka, REST, Javascript, Event Sourcing, Architecture Design, MSK, Kafka Connect, CQRS, Event-Driven Architecture

Apis, Node.js, Microservices, Tensorflow, Devops, Pytorch, Gcp, Distributed Systems, Azure, Python, AWS, cloud architectures, Scikit-learn, ML model deployment, ETL pipelines

Data Management, Togaf, Distributed Systems, Programming Languages, Network Architecture, Cloud Computing, modern technology stacks, enterprise architecture frameworks, DevOps practices and tools, zachman, development methodologies, microservices-based architectures

containerization , Aws Services, AWS CloudFormation, Kubernetes, Docker, Terraform, cloud-native architectures, agentic frameworks, prompt engineering principles, Java or another enterprise programming language, AI ML capabilities, DevOps practices, microservices architecture, CI CD pipelines, Application Security principles