The all-in-one AI plugin for Data Engineers

Skills for data engineers 17

• senior data engineerDesigns your full pipeline: sources, transforms, orchestration, and data quality checks, for example a daily orders load into Snowflake.
• office etl pipelineBuilds a repeatable extract, transform, load flow, for example pulling finance CSV exports into your warehouse each morning.
• sql optimization patternsFinds why a query is slow, proposes index or rewrite changes, and verifies results match on real data.
• airflow dag patternsWrites production Airflow DAGs with retries, sensors, and tests, for example a backfillable hourly ingestion job.
• data quality assessment assistantProfiles your data, writes validation rules, and spots anomalies, for example duplicate customer IDs or missing order dates.
• database design assistantReviews schemas, data types, keys, and integrity rules, for example checking an ER model before a new billing release.

Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.

Ready-made prompts 29

• Data Transformation3 prompts, like Generate Python Data Transformation Script
• Data Quality Checks3 prompts, like Write Data Quality Test Cases
• ETL Pipeline Design3 prompts, like Design ETL Pipeline Architecture
• Pipeline Monitoring & Troubleshooting4 prompts, like Diagnose a Pipeline Failure from Logs
• Query Performance Tuning7 prompts, like Optimize SQL Query Performance
• Data Storage & Schema3 prompts, like Design a Data Warehouse Schema
• Workflow Automation3 prompts, like Write an Airflow DAG for a Pipeline

Apps you can build with AI 3

• Managed data pipeline delivery workspaceBuild this to track pipeline requests, owners, and freshness reviews in one place instead of scattered tickets. Demo included.
• Schema-linked SQL generation and repair consoleBuild this to draft SQL against your real schema and repair broken queries before they hit production. Demo included.
• Raw-source data preparation and stewardship libraryBuild this to reuse source prep steps and keep rights, lineage, and review notes attached to each raw feed. Demo included.

Your Grok Bot team 12

• Data EngineerDesigns and builds scalable data pipelines, warehouses, and streaming architectures for reliable analytics infrastructure.
• Data Engineering Data PipelineDesign and implement scalable batch and streaming data pipelines
• Airflow Dag PatternsBuild production Airflow DAGs with operators, sensors, testing, and deployment patterns. No cron job replacements. No non-Airflow orchestration. No pr
• Dbt Transformation PatternsOrganize dbt models into staging, intermediate, and marts with tests, docs, and incremental builds.
• Sql Optimization PatternsSystematically optimize slow SQL queries with indexing and plan analysis.
• Spark OptimizationOptimize Apache Spark jobs with partitioning, caching, shuffle tuning, and memory management.
• Monte Carlo Monitoring AdvisorAnalyze data coverage, create monitors for warehouse tables and AI agents.
• Monte Carlo Asset HealthCheck data table health via Monte Carlo observability.
• Monte Carlo Performance DiagnosisDiagnoses pipeline performance issues using Monte Carlo observability data.
• Monte Carlo Storage Cost AnalysisAnalyze a data warehouse for stale, unused, or redundant tables to reduce storage costs.
• Cicd Automation Workflow AutomateDesign CI/CD pipelines and GitHub Actions workflows to automate development and deployment.
• Database OptimizationOptimizes database query performance, indexing, and schema for faster response times.