Saas, Distributed Systems, AWS, multi-tenant architecture, Ai, media processing, high-concurrency services, real-time video streaming

Gcp, Distributed Systems, System Design, Azure, micro-services architecture, Cloud native distributed system development, telemetry features, engineering excellence

CDK, Microservices, Javascript, Terraform, Distributed Systems, Agile, Python, Apis, Devops, Iam, Kubernetes, entitlements, AI capabilities, policy systems, event-driven architecture, policy guardrails, FinOps, Crossplane, security-by-design, AWS engineering, cloud economics, cloud governance, SLO-driven operations, rbac, infrastructure-as-code tools

containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks

data engineering , Power Bi, Tableau, Azure Databricks, MLops, SAP Datasphere, SAP Analytics Cloud, Data quality and governance, AI ML product development, Business intelligence and reporting, Automation pipelines, Data platforms

Oauth, Saml, Sso, Gcp, Distributed Systems, automation, Azure, Python, AWS, traffic inspection frameworks, zero-trust frameworks, cloud-native architecture, policy engines, MFA, Go, microservices architectures, SSE SASE architecture principles, SaaS engineering, reliability engineering, CI CD pipelines, DevOps best practices, identity systems, observability

.NET, SQL Server, Microsoft Azure, Azure DevOps, Agentic AI, Agile delivery practices

Ms Azure, Gcp, AWS, Microsoft.Net, open-source stack

.NET, SQL Server, Microsoft Azure, Azure DevOps, Agentic AI, Agile delivery practices

data engineering , snowflake , Power Bi, Tableau, Sql, Qlik, Data Governance, semantic models, data quality measurement, data lake or warehouse, SAP SuccessFactors reporting, Microsoft Fabric