Java, Orchestration, BigQuery, Data Modeling, Sql, Docker, Distributed Systems, Spark, Containers, automation, Restful Apis, Kubernetes, Python, data pipelines, NoSQL databases, Go, Monitoring, cloud-native design principles, microservices architecture, Git-based workflows, observability

.NET, Angular, Devops, Sql Database Design, React, Docker, Terraform, Restful Apis, Azure, Kubernetes, cloud-native systems, IaC, automated testing frameworks, microservices deployments, distributed architectures

AWS EKS, Java, Elasticsearch, Replication, Kubernetes, Python, Sharding, Go, OpenSearch, Consensus algorithms, Azure AKS, Google Cloud GKE, CAP theorem, Fault-tolerant design patterns

.Net Core, .NET Framework, architectural patterns , Algorithms, Oops, Web Api, MVVM, Solid Principles, SQL Server, Git, Mvc, data structures, Azure, AWS, multi-threaded distributed systems, microservices architecture, EF Core

Distributed Systems, Core Java, Cloud Microservices, Engineering Excellence, Data Messaging

Microservices, Distributed Systems, SaaS platforms, platform reliability, canary rollouts, cloud-native, privacy principles, Security, platform engineering patterns, system API design, chaos engineering, internal developer platforms

Java, Distributed Systems, Framework Design, Authorization Frameworks, Enterprise Security Patterns

Java, REST, Graphql, Distributed Systems, Kotlin, Microservices, enterprise messaging systems, Relational Databases, alternative data stores

containerization , Java, Golang, Distributed Systems, Python, designing for scale and performance, developer tools, cloud-native applications, infrastructure as code, CI CD, Managed Services, event-driven programming paradigms, DevOps practices, orchestration using Kubernetes, next-generation databases

Distributed Systems, Security Compliance, Operational Best Practices, Azure AI, Software Engineering Lifecycle