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etl-pipelines

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Automate ETL/ELT data pipelines with Pandas.

Data & Analytics#data pipeline#data processing#pandas#etl#elt
AuthorLeandroBenjaminL
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the extraction, transformation, and loading of data using Pandas, simplifying the creation of robust and monitorable data pipelines.

Core Features & Use Cases

  • ETL/ELT Automation: Automate the entire ETL/ELT process for data processing and loading.
  • Data Integration: Combine data from multiple sources into a unified format.
  • Batch Processing: Process files in batch mode for regular data needs.
  • Use Case: For instance, if you need to process sales data from various sources daily, this Skill can automate the extraction, cleaning, and loading of the data into a database.

Quick Start

Use the etl-pipelines skill to process the data from 'sales_data.csv' and load it into the 'sales_data.db' database.

Dependency Matrix

Required Modules

pandasnumpymatplotlibseabornscikit-learnplotlypython-dotenvpyarrowjupyter

Components

scriptsassets

💻 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: etl-pipelines
Download link: https://github.com/LeandroBenjaminL/lend-ai/archive/main.zip#etl-pipelines

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