ETL stands for Extract, Transform and Load, which is the foundation of the data warehousing process. An ETL Expert is someone who understands the data requirements of an organization and helps create an efficient method of managing that data. This professional should be able to collect data from multiple sources, organize that data for use, and make sure that the data is clean and up-to-date with minimal downtime. An ETL Expert can also monitor, guarantee performance and optimize data delivery to facilitate best practices in a business environment.
Here's some projects that our expert ETL Experts made real:
- Setting up a desktop application to extract and transform structured or unstructured data
- Constructing a data warehouse specific to an organization’s needs
- Integrating stores with websites for easy access of the organization’s products
- Extracting data from JSON files to store them in PostgreSQL in the right format
- Developing and running an AWS Glue ETL process using SAS and Teradata
An experienced ETL Expert makes these demanding projects look effortless, while also making sure that they are delivered with accuracy and care. With the right knowledge on hand ,they have the potential to make significant contributions by helping businesses expand their customer base by utilizing their exisiting resources effectively. We invite you to post your project in Freelancer.com and find an expert ETL Expert who will help your business reach new heights.Baseret på 3,858 bedømmelser, giver vores klienter os ETL Experts 4.8 ud af 5 stjerner.
Ansæt ETL Experts
I am seeking a freelancer with expertise in Azure Data Factory and REST APIs for the specific task of retrieving sales data from IDoSell e-commerce and storing it in a Data Lake. The ideal candidate should possess the following skills and experience: Proficiency in Azure Data Factory and REST APIs. Experience in fetching and processing paginated sales data. Familiarity with Data Lake storage and management. Ability to work with JSON format for data storage. The primary objective of this project is to fetch sales data from the IDoSell REST API and save it in a Data Lake using Azure Data Factory, with the data being stored in JSON format. The freelancer should be capable of establishing the necessary connections and workflows to automate the data fetching process. API documentation is ava...