ETL pipeline developer, data engineering

An ETL (Extract, Transform, Load) pipeline is a process for extracting data from various sources, transforming it to fit a specific format or structure, and loading it into a target system or database. A project on an ETL pipeline would typically involve the following steps:

Extract: The first step is to gather data from various sources such as on-prem, cloud databases, databases, CSV files, or APIs.

Transform: In this step, the data is cleaned, transformed, and prepared for loading into the target system. This may involve tasks such as removing duplicate data, converting data types, or applying calculations.

Load: The final step is to load the prepared data into the target system, such as a data warehouse or a database.

The specific details of the project will depend on the data sources, the target system, and the specific requirements of the project.

Additionally, the ETL pipeline can be automated using scheduling tools like Airflow, Cron, or Jenkins etc, so that it can run at specific intervals or trigger on certain events, also it can be built using different technologies like Python, Java, or SQL based on the organizations preference.