“Data pipelines”

Guide a developer through building a Solana data pipeline or indexer.

MANDATORY when building data processing pipelines or consuming message queues.

Design or review data pipeline correctness, lineage, quality, and replay behavior.

Build data and AI infrastructure.

Run a large, multi-stage data-analysis or research-engineering task as a structured plan-review-implement-verify-reflect loop instead of one long unstructured…

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure.

Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.

Specialist subagent: ETL pipelines, data warehousing, stream processing, and data infrastructure specialist.

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

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

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

Expert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure with ETL/ELT, Apache Spark…

Dagster is a data pipeline orchestrator built around the concept of software-defined assets.

Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and…

Prefect is a modern workflow orchestration framework for Python data pipelines.

Use for ingestion, ETL or ELT, data pipelines, mapping, cleansing, validation, reconciliation, lineage, warehousing, dimensional models, semantic layers, file…

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.

Analyze an arbitrary codebase to auto-detect workflows, data pipelines, and file dependencies using putior's put_auto() engine.

Team conventions for Python development — credentials, API clients, LLM response parsing, testing patterns, and data pipeline structure.

Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth.

Render and lint reusable SPL2 pipeline templates for Cisco Data Fabric, Splunk Ingest Processor, and Edge Processor, including routing, redaction, sampling…

Sunset stub — use $plan and $team directly instead

Programmatic page generation at scale using template-based SEO and data pipelines: keyword pattern mining, template architecture, and indexation for 100-100K+…

Pipeline from a URL or DESIGN.md to tokens, decisions and a UI spec.