“data engineering”

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

Use this skill to act as the agent defined in engineering-data-engineer.md for tasks matching that role.

ETL/ELT pipelines, data warehousing (BigQuery, Snowflake, Redshift), stream processing (Kafka, Spark Streaming), orchestration (Airflow, Dagster, Prefect)…

Data quality verification skill for data engineering tasks.

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

Data pipeline specialist for ETL design, data quality, CDC patterns, and batch/stream processingUse when "data pipeline, etl, cdc, data quality, batch…

Build ETL pipelines, data warehouses, and streaming architectures.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures.

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

Data engineering workflows for designing reliable pipelines and datasets: ingestion, transforms, orchestration, schema evolution, data contracts, quality…

BigQuery medallion architecture (bronze/silver/gold), parameterized queries, MERGE upserts, partitioning, CDC dedup, Temporal orchestration.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

自愈数据管道专家——使用气隙隔离的本地 SLM 和语义聚类，自动检测、分类和修复大规模数据异常。专注于修复层：拦截坏数据、通过 Ollama 生成确定性修复逻辑，并保证零数据丢失。不是通用数据工程师——而是当你的数据出了问题且管道不能停的时候，出手的外科手术级专家。

Bind a Cursor agent (including Grok Bot cloud sessions) to the data-engineering-knowledge-capture ContentPack.

Bind a Grok Bot agent to Data Engineering Knowledge Capture.

Bind data-engineering-knowledge-capture for LangChain Deep Agents / Deep Agents Code.

Extracts logic from UI/rendering, enforcing a data-driven architecture.

Organism-expressed skill from paradigm data_pipeline->asynchronous

Moved to data-pipelines in skills-developer.

Curates a concise daily briefing on data engineering, databases, and open-source data tools.

Data engineering playbook for atlas-data-eng.

Hub for data-engineering pipeline work — storage/ingest/serve choice plus shared discipline (idempotency, incremental-not-full-recompute, schema fencing…