Big Data Technologies, data modeling concepts, security and compliance considerations in cloud data environments, data integration techniques, cloud-based data processing and analytics platforms, Microsoft Azure Databricks, design and implement scalable data pipelines, distributed computing frameworks

Terraform, Azure, Kubernetes, Azure API Management, Llm

Aws Lambda, S3, Cloudformation, AWS Glue, Apache Spark, Prometheus, Datadog, Cloudwatch, Terraform, Airflow, Go, CI/CD pipelines

Prometheus, Grafana, Azure Cloud, Azure Ad, Terraform, Api Management, Azure DevOps, Containers, App Services, OpenTelemetry, event bus, Monitoring

Git, AOSP development, HAL and vendor-component integration, Linux Android system-level debugging, Binder AIDL, SELinux policy development and debugging, Soong, Android BSP and SoC vendor integration, Android boot flow, Android system architecture, AOSP build systems

Algorithms, Logging, Cloud deployment, React, Typescript, Docker, Debugging, data structures, Python, Apis, Oauth2, Testing, Sso, Git, Linux, least-privilege access, embeddings, production incident response, MCP integrations, metadata design, asynchronous systems, secrets management, retrieval evaluation, Monitoring, access-aware retrieval, rbac, hybrid search, ranking, OIDC, Performance Analysis

AWS, Terraform, Python, Bash, Kubernetes, CI/CD

PowerShell, Windows, Jenkins, Git, Terraform, Linux, Ansible, Python, Azure DevOps, Secrets management, CI/CD, Security scanning

Bash, Kubernetes, Python, Azure, Terraform, PowerShell, Azure DevOps, CI CD, GitHub Actions, Azure Monitor, Production Kubernetes operations