Case Study: a large jewelry manufacturer and retailer speeds up ETL migration with ScienceSoft's big data consulting

a large jewelry manufacturer and retailer speeds up ETL migration with ScienceSoft and builds 7 pipelines

ScienceSoft provided big data consulting and team augmentation services to a large jewelry manufacturer and retailer. The customer faced a challenge with its legacy data analytics solution, which was underperforming due to growing data volumes. Their in-house team lacked the necessary Python and Spark skills to effectively rebuild ETL processes for a new Incorta-based enterprise data warehouse, slowing down the strategic project.

ScienceSoft's senior data engineer collaborated with the customer's team to provide practical guidance, troubleshoot code, and accelerate development. As a result, the in-house team's skills improved significantly within three weeks. ScienceSoft's expert also built seven new ETL pipelines that the customer uses for inventory management, marketing, and tendering. This collaboration sped up the project delivery and provided the customer with a foundation for long-term data-driven decision-making.