AI tools for “etl”

Self-serve BI, embedded analytics, ETL, managed warehouse, and a semantic layer. Basedash is everything you need for AI analytics, in one platform.

…TTL, vector indexes for similarity search, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live…

…for SQL query engines (Athena, Spark, Redshift, EMR), ETL (Glue), streaming (Kafka, MSK, Kinesis), or managed database services (RDS, Aurora,…

…migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use…

…(ingesting-into-data-lake covers that), self-run CTAS/Glue-ETL/Spark migrations (ingesting-into-data-lake), or creating empty tables…

…mapping plan (Mapping Manifesto). Used when initiating an ETL, ELT, or data integration task with schema mapping specification for multiple tables (i.e. more than 3 tables) before writing code. Do NOT use this skill…

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

…plan a migration to AIDP, translate Athena SQL or Glue ETL/PySpark to Spark on AIDP, or verify a migration's output. Wraps the `aws-aidp` CLI, with the verbs inventory, plan, migrate and…

…analytics/BI, AI agents and operations with near real-time ETL data pipelines. ConnectorsBy typeSourcesApps and databasesDestinationsWarehouses and lakesReverse ETLSync data back to your toolsFilesCSV, Excel, S3 and…

…first whenever the user mentions migrating Informatica ETL (IDMC/IICS cloud mappings, PowerCenter 10.x repository XML) onto Oracle AI Data Platform (AIDP). Lays out the toolkit, the CLI command sequence, which…

…person properties from the warehouse", or asks for reverse ETL into PostHog. Covers picking the table and the identifier column, proposing a whole-table column mapping in one call, excluding identity and reserved…

…BigQuery, GCS, Spanner, or Cloud SQL. - Building PySpark ETL pipelines, machine learning workloads, or batch jobs. - Managing Dataproc clusters, serverless batches, or interactive sessions. - Optimizing PySpark or…

…independently on failure (transcribe→summarize→email, ETL, order fulfillment, any 'do A then B then C, retry each' job). Use @convex-dev/workflow — do NOT hand-roll a chain of scheduler calls or a custom jobs…

Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go. Use this when adding an API endpoint or backend route, adding a contact form handler, wiring auth or Identity signup/login…

Add user authentication to a Netlify site with @netlify/identity, covering signup/login/logout, Google/GitHub/GitLab/Bitbucket OAuth, server-side getUser() checks, role-based access control, and Identity event…

Ask On Data is an AI-powered, open source chat based ETL tool for data engineering. Via chat, it enables tasks like data migration, cleaning, and analysis, making it accessible for data scientists and engineers to…

…and secure Model Context Protocol (MCP) servers on Netlify. Use whenever the task involves creating an MCP server, exposing an app or API to AI agents as MCP tools, letting Claude / Cursor / Claude Code call a…

Create, configure, and manage Netlify deploys from code — reach for this when setting up Git continuous deployment, running netlify deploy or netlify deploy --prod from the CLI, writing netlify.toml deploy contexts,…

Serverless form handling on Netlify-hosted sites — detects HTML forms at deploy time, stores submissions, filters spam, and sends notifications. Use when adding a contact form, lead-capture form, file-upload form, or…

Deploy and configure web frameworks on Netlify — build settings and SSR/edge adapters plus local platform emulation and env vars. Use when setting up or fixing a framework deploy (Next.js / Astro / Nuxt / SvelteKit /…