data engineering , AWS, Databricks, Data Governance, data infrastructure, Agile Delivery

.NET engineering practices, Rest Apis, Sdlc, automation, Cloud Operations, Microservices, Automated Testing, Storage, Devops, Distributed Systems, release management, Azure, Databases, application hosting, engineering governance, CI/CD, cloud platforms, Production Support, cloud-native design, event-driven patterns, Agile delivery, observability, API-first development, AI-assisted coding

Microservices, Reactjs, Distributed Systems, Openshift, Azure, Kubernetes, AWS, CI/CD, Java Spring Boot, Performance Optimization, Generative AI, DevOps Practices, Scalability Optimization, Ai

, Testing, Distributed Systems, Microservices, Ci, Enterprise Applications, Scrum Master, Coding Standards, Agile Development Methodologies, Operations, Code reviews, Build processes, Scm

Sql, Java, Apis, Dynamodb, Kafka, Redshift, Microservices, MS SQL, Qlik, Postgres, Python, AWS, Debezium, DevOps practices, IaC, Data Bricks, Cloud-native architectures, CI/CD

.NET, Python, Ubuntu, Devops, ML technologies, AI-Driven Software Engineering, intelligent analytics, continuous deployment pipelines, WinUI, Ai, automated code generation, generative AI tools