Data Engineering & Analytics

About

The Data Engineering & Analytics skill provides Claude with deep expertise in designing and maintaining scalable data infrastructure. It offers specialized guidance for building efficient ETL/ELT pipelines, optimizing complex SQL queries for platforms like Snowflake and BigQuery, and implementing best practices for data quality and governance. Whether you are working with streaming data via Kafka or orchestrating transformations with dbt and Airflow, this skill ensures your data systems are performant, secure, and reliable.

Key Features

• Expert guidance for ETL and ELT pipeline architecture
• Advanced SQL optimization for major data warehouses
• Integration patterns for dbt, Airflow, Spark, and Kafka
• 1 GitHub stars
• Best practices for data governance, security, and quality
• Scalable data modeling and warehousing strategies

Use Cases

• Refactoring inefficient SQL queries to reduce latency and cloud compute costs
• Developing automated pipelines to ingest and transform raw data for business intelligence
• Implementing real-time data streaming architectures for live analytics