Results for “pipelines”

Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Extracts executable task definitions from Markdown files and runs them as shell pipelines, parsing fenced code blocks with task metadata annotations and managing dependencies between tasks.

Manage GitLab issues, merge requests, CI/CD pipelines, and repositories from the terminal using the glab CLI, including support for self-hosted instances and automation scripts.

Operate and troubleshoot CircleCI using the CircleCI CLI. Use when users ask to authenticate CLI access, inspect pipeline/workflow/job status, validate configuration locally, rerun pipelines/jobs, trigger pipelines, or gather actionable diagnostics from CLI outputs.

Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing org/projects, Boards/work items, repos/pipelines, Analytics/OData/Power BI, or Azure DevOps Server, and other Azure DevOps related development tasks. Not for Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).

Debugs ML pipelines by identifying data leakage, overfitting, and distribution shift issues

Builds Retrieval-Augmented Generation pipelines with vector stores, chunking strategies, and reranking

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations

Expert knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when setting up YAML CI/CD, service connections/Key Vault, self-hosted agents, IIS/Kubernetes deploys, or Git integrations, and other Azure Pipelines related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).

Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running Azure Load Testing, Playwright Workspaces, JMeter/Locust tests, VNet/private endpoint tests, or CI/CD test pipelines, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Playwright Workspaces (use azure-playwright-workspaces).

ETL Pipeline Specialist IA — Expert en pipelines ETL (Airflow, dbt, data quality, incremental loads, CDC)

Pipeline Intelligence

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.

Revenue operations analyst specializing in pipeline health diagnostics, deal velocity analysis, forecast accuracy, and data-driven sales coaching. Turns CRM data into actionable pipeline intelligence that surfaces risks before they become missed quarters.

Designs and implements CI/CD pipelines, automating build, test, and deployment processes with security scanning and deployment strategies.

Designs and implements CI/CD pipelines with automated testing, build automation, deployment, and rollback strategies.

ML Pipeline Specialist IA — Expert en pipelines ML (feature stores, data versioning, experiment tracking, model registry)

Identifies, assesses, and mitigates risks at every phase of a development pipeline.

Configurable pipeline orchestrator for sequencing stages

CI/CD Pipeline Architect

Check health of registered background pipelines across all projects. Shows HEALTHY/DEGRADED/DEAD status. Run /pipeline [project-name] to filter.

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness, returning a structured report with exact patch locations.

End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".

Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.

Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations

Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.

Fork, sanitize, and package private projects for safe public release through a three-stage pipeline.

Detect stack and generate CI/CD pipeline configs. Usage: /pipeline <detect|generate> [options]