data engineering , snowflake , Gcp, Data Architecture, Databricks, AWS, investment data domains, Data APIs

Cloud AWS, Devops, Azure, virtualized Hosting platforms, multi-cloud platforms, converged and hyper converged platform

Sql, Performance tuning within Snowflake, Data modeling concepts, Data integration techniques, Cloud-based data warehousing solutions, Snowflake Data Warehouse

Kubernetes, Linux System Administration, Grafana, Ansible, Prometheus, Docker, Terraform, Jenkins, Microsoft Azure, HashiCorp Vault, GitHub Actions, Kubeflow, MLflow, OpenTelemetry

Sql, Restful Apis, Python, Azure DevOps, LangChain, API-first design, AI ML solutions, RAG architecture, vector databases, scalable and distributed systems, Microservices architecture, prompt engineering, Semantic Kernel, software engineering frameworks, CI CD pipelines, LLM frameworks, cloud-native application development

Linux System Administration, Prometheus, Grafana, Jenkins, Terraform, Docker, Ansible, Microsoft Azure, Kubernetes, HashiCorp Vault, MLflow, GitHub Actions, OpenTelemetry, Kubeflow, Google GCP

Power Bi, Sql, Azure Data Factory, Azure, Python, Azure DevOps, Airflow, Data Pipelines, Great Expectations, Azure Key Vault, CI CD, GitHub Actions, R, Data Quality Framework, rbac, Microsoft Fabric, SoDA