Data pipelines are essential in modern data engineering and analytics, enabling the movement and transformation of data from raw sources to an accessible format for end-users. This process often involves multiple stages, such as data ingestion, data processing, data storage, and data analysis. Pipelines can be batch-oriented or real-time, depending on the operational needs and the nature of the data being processed. They can automate data workflows and ensure data quality while minimizing manual interventions. In the context of web3, data pipelines may also integrate blockchain-specific data sources, such as on-chain data from smart contracts and decentralized applications.