“Data pipelines”

Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks.

Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL.

Review the Close pipeline when the user wants to assess opportunity risk, find stale deals, or prioritize next actions.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

Set up end-to-end Change Data Capture (CDC) pipelines on Confluent Cloud using Debezium source connectors, Flink for transformation, and Tableflow for data…

Reference architecture case study for an insurance (保険 / 保険業) data analytics platform on AWS, based on real-world insurers (New York Life, Sun Life).

Authors and deploys MWAA workflow artifacts: Python Airflow DAGs for provisioned environments or YAML workflow files for Serverless.

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

Use the sales pipeline spreadsheet template.

Standard verification pipeline to execute after modifying C++ source or header files.

Build managed ingestion pipelines into Databricks using Lakeflow Connect.

Use Close CRM data to research leads, review pipeline and activity, prepare follow-ups, and safely create or update CRM records.

Prepare and publish a new version of the waza azd extension.

Serverless compute for Databricks jobs, Lakeflow pipelines and Declarative Automation Bundles (DABs), with STANDARD or PERFORMANCE_OPTIMIZED and classic only…

Configures CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, CodeConnections, and CodeArtifact.

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.

MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call.

Use this skill any time a spreadsheet file is the primary input or output.

Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices.

Comprehensive operational review procedures for Amazon Bedrock AgentCore resources aligned with the AWS Well-Architected Framework.

Diagnoses CI and pull-request pipeline health for a GitHub repo using the engineering analytics MCP tools — pull-requests (PR list with CI status)…

Create Confluent-specific skills for external users.

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents.

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA.