React, Gcp, AWS, distributed backend data pipelines, GraphQL APIs, cloud data infrastructure

.NET, CSS, HTML, Gcp, Javascript, MySQL, Agile Development, MongoDB, Azure, AWS, SDLC best practices, CI CD, Angular 16

Quality assurance, Programming Languages, Automated Testing, Waterfall methodologies, Environment management, Source control management, Build and release processes, Software development engineering and architecture life cycle process and methodologies, Software engineering architecture lifecycle

data engineering , snowflake , Java, Streaming, Distributed Systems, Cloud Infrastructure, Devops, Gcp, DevSecOps, Docker, Terraform, Azure, Kubernetes, AWS, API Design, REST, Spark, Prometheus, Data Architecture, Kafka, Grafana, Security, Event-driven Architecture, Site Reliability Engineering, Observability, Platform Engineering, Service Architecture, Data Pipelines, OpenTelemetry

containerization , Docker, Software Engineering, Kubernetes, engineering tooling, large complex codebases, type checkers, fitness functions, Static Analysis, AI coding agents, structural architecture-fitness tests, sandboxed execution, prompt injection, infrastructure-as-code, linters, developer-platform work, deterministic computational controls, tool permission scoping, agent orchestration, audit trails

data engineering , Docker, Kubernetes, Python, AWS, AI Engineering