Case Study: Malt saves 70% of data engineering time with Fivetran

Malt’s Data Team Saves 70% of Data Engineering Time With Fivetran

Malt, an online freelancer marketplace serving 30,000 organizations and 250,000 freelancers across Europe, needed a more reliable and automated way to move data for analysis and regulatory compliance. Its custom-built ingestion framework was slowing down analysis, creating debugging overhead for a small data team, and had to keep personal data inside the EU.

With Fivetran’s fully managed connectors feeding BigQuery and related tools, Malt automated data ingestion across sources like Salesforce, Google Ads, Facebook Pages, Mandrill, and more. Fivetran cut 70% of the data team’s engineering time, refreshed Salesforce data every 15 minutes, eliminated stale data and loss, and enabled new use cases and self-serve dashboards that made the business more data-driven.

Malt

Olivier Girardot

Head of Data