Skip to content
AI Marketplaces Leaderboard

Data Engineering Copilot

ChatGPT plugin

Debug production data systems

View in ChatGPT directory

Data Engineering Copilot helps you design, debug, recover, and improve production data systems across Spark, Databricks, Delta Lake, SQL, CDC, Structured Streaming, Airflow, backfills, data quality, observability, and lakehouse architectures. It can diagnose failed or slow pipelines, reason about duplicate and late data, plan safe replay and backfill strategies, review checkpoint and streaming-state risks, tune Spark from execution evidence, and create production-oriented SQL, PySpark, and orchestration patterns. It prioritizes correctness, recoverability, SLA, security, and cost before scaling or redesigning.

Featured
No

not on the featured shelf

Movement

From our daily snapshots over the last 30 days.

Rank by placement

#5400of 8,79330places down24h87places down7d
#5,216#5,410#5,604#5,798Sep 27Oct 3Oct 9Oct 15Oct 21Oct 26

Rank in Data & analytics

#268of 490024h5places down7d
#256#270#284#298Sep 27Oct 3Oct 9Oct 15Oct 21Oct 26

In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Data & analytics268th of 490 by placement
#PluginPosition7d
266Nexscope#5324106places down
267Fit File Forge#536191places up
268Data Engineering CopilotThis page#540087places down
269CallRail#5411181places up
270Fospha (North & South America)#542336places up

All 490 Data & analytics plugins

Example prompts

  • “Debug why this production pipeline is failing or producing wrong data.”
  • “Design a reliable CDC or streaming pipeline for this use case.”
  • “Plan a safe backfill or replay without duplicating or losing data.”

Skills

  • data-engineering

    Production-focused workflow for designing, debugging, recovering, tuning, and operating data pipelines across Spark, Databricks, Delta Lake, SQL, CDC, Structured Streaming, Airflow, backfills, quality, observability, and lakehouse systems.

Categories
Made by
Krishna Sathvik
Sign-in
On Install
Capabilities
Design reliable batch, CDC, streaming, and lakehouse architectures, Debug failed, slow, duplicated, stale, or backlogged production pipelines, Plan safe replay, backfill, recovery, and checkpoint strategies, Review Delta MERGE logic for keys, ordering, duplicates, updates, and deletes, Diagnose Spark and Databricks performance using plans, shuffle, spill, skew, and file evidence, Design Structured Streaming state, watermark, checkpoint, and sink behavior, Create production-oriented SQL, PySpark, Databricks, and Airflow patterns, Build data-quality gates, reconciliation, freshness checks, and operational runbooks, Evaluate retry safety, idempotency, schema evolution, and downstream contracts, Use current official docs for Spark, Databricks, Delta Lake, Airflow, and runtime-specific behavior
Availability
Available
Version
0.1.0
Keywords
data-engineering, spark, databricks, delta-lake, cdc, streaming, airflow, data-quality
Created
September 23, 2026
Sponsorship
Promote this plugin