Cloud

Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift.

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift…

Operates Amazon Kinesis Data Streams (KDS).

Writes and curates business metadata in an AWS data catalog: the Amazon SageMaker Catalog (Amazon DataZone), or the AWS Glue Data Catalog.

Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size.

Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies…

Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift).

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3…

AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs.

Set up AI Runway on AKS — from bare cluster to running model.

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence.

Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk…

Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence.

Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation.

Guidance for instrumenting webapps with Azure Application Insights.

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence.

End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval.

Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work.

Run Azure compliance and security audits with azqr plus Key Vault expiration checks.

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files.

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage.

Architect and provision enterprise Azure infrastructure from workload descriptions.

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters.