data engineering , Java, BigQuery, Google Cloud Platform, Data Management, Dataproc, Microservices, Cloud Storage, Devops, MLops, Agile, Data Governance, Python, online machine learning systems, event-driven systems, event streaming, Cloud Composer, Vertex AI, Data Flow, CI/CD

High Availability (HA), Disaster Recovery (DR), Google Cloud Platform (GCP), GKE (Google Kubernetes Engine), Cloud Storage, Docker, Terraform, Logging, BigQuery, Devops, Ansible, Compute Engine, Iam, Kubernetes, Cloud Operations Suite, cloud security frameworks, Cloud DNS, Cloud SQL, VPC Load Balancers, multi-cloud environments, Cloud Monitoring, hybrid cloud, CI/CD, Security Command Center

Gcp, API design, Microservices, DevSecOps, MLops, Kubernetes, Terraform, cloud networking, Vertex AI, Ai, LLM frameworks, GenAI, GKE, event-driven architecture, CI CD, Monitoring, Vector Databases, observability, AI Agents, RAG architectures, rbac

Networking, Microservices, Cloud Storage, Terraform, Python, Java, BigQuery, cloud security, Api Integration, MLops, DevSecOps, Compute Engine, Iam, DataFlow, Kubernetes, CI CD, Pub Sub, Cloud Run, Vertex AI, GCP services, Google Professional Cloud Architect certification, Generative AI, GKE, FinOps, multi-cloud environments, cloud-native architecture, RAG, Gemini

Machine Learning, Devops, Cloud Migration, Data Analytics, Building accelerators frameworks, Generative AI, Building and managing COE functions, Reference architectures, Reusable cloud assets, Hands-on architectural knowledge across core AWS services, AWS Cloud technologies, Ai, Cloud governance, Estimation and sizing, Technical Presentations, Cloud transformation, Pre-sales and solutioning, Proposal development, Platform Engineering

BigQuery, Cloud Storage, Gcp, Terraform, Sql, Python, Etl, ELT, Cloud Dataflow, Cloud Pub/Sub

Nodejs, Python, Cloud Storage, Gcp, Cloud Run, Cloud Task, Micro Services architecture, Cloud Pub Sub