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typescript-data-engineering

Official

Streamline TS data pipelines end-to-end.

Data & Analytics#typescript#postgresql#redis#etl#bigquery#data-pipelines#event-sourcing
AuthorLazyIsEfficient
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill solves the challenge of building reliable, scalable TypeScript data pipelines, ETL jobs, and event-processing systems for modern data platforms.

Core Features & Use Cases

  • Idempotent ETL pipelines and event processors built around PostgreSQL, Redis, and BigQuery, with an outbox/inbox pattern to ensure exactly-once semantics.
  • Event-sourcing and cron-based orchestration for scheduled data distribution, backfills, and projection generation.
  • References to architecture, ORM choices, and data models to guide provisioning, schema evolution, and deployment pipelines for data systems.

Quick Start

Configure a reproducible ETL workflow that ingests events, processes them idempotently, and loads analytics-ready projections into BigQuery.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: typescript-data-engineering
Download link: https://github.com/LazyIsEfficient/agentic-os/archive/main.zip#typescript-data-engineering

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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