How do Data Engineers approach data integration from multiple sources?

In ETL pipeline development, information from disparate sources is combined into the gathering of data, cleaning, and its integration into a uniform format. A Data Engineer would utilize Apache NiFi, Talend, or custom scripts written by themselves for automating the extraction and transformation process. Consistently, mapping, de-duplication, and normalization of data are carried out by the engineers for source applications. They can also take advantage of APIs, databases, and cloud services which integrate structured and unstructured data efficiently in order for it to be really available for analysis.