Data Founders
George Fraser
CEO and Co-founder, Fivetran
Built the pipes moving the world's data into the cloud, automatically and at scale.
Score 82/100
Why they’re on the list
Fraser co-founded and leads Fivetran, whose automated connectors became foundational infrastructure for the modern data stack, moving data for thousands of companies into cloud warehouses and, increasingly, AI pipelines.
George Fraser is the chief executive and co-founder of Fivetran, the Oakland-based data integration company whose automated connectors have become a default layer of the modern data stack. Alongside co-founder Taylor Brown, Fraser built Fivetran to solve a problem he encountered repeatedly as a data scientist: the enormous, unglamorous effort required to move data reliably from dozens of business applications into a warehouse before any analysis could begin.
Before founding Fivetran, Fraser worked as a data scientist, including a stint at the analytics consultancy RJMetrics, where he saw first-hand how much engineering time was consumed by fragile, hand-built pipelines rather than analysis itself. That frustration led him and Brown to found Fivetran in 2012, initially exploring several product ideas before settling on automated, maintenance-free data connectors as the company's focus around 2016.
Under Fraser's leadership, Fivetran has grown into one of the most widely used tools in the modern data stack, with hundreds of pre-built connectors linking source systems such as Salesforce, Google Ads and Postgres to warehouses like Snowflake, BigQuery and Databricks. The company has raised significant venture funding at a valuation in the billions of dollars, and Fraser has steered it through the broader industry's consolidation, including acquisitions aimed at extending Fivetran into data movement for AI and lakehouse architectures.
As CEO, Fraser has become a notable public voice on the economics and architecture of data infrastructure, writing frequently about the trade-offs between data warehouses and lakehouses, the impact of large language models on data engineering, and the case against over-engineered in-house pipelines. His essays and talks are widely read within the data engineering community and have helped shape how practitioners think about build-versus-buy decisions for data integration.
Fraser's influence rests less on public visibility than on the sheer ubiquity of the infrastructure he has built: Fivetran's connectors quietly underpin analytics and, increasingly, AI workflows at thousands of companies. As enterprises race to feed large language models and agents with reliable, up-to-date data, the plumbing Fraser pioneered has taken on renewed strategic importance.
Career timeline
- 2012Co-founds Fivetran with Taylor Brown
- 2016Fivetran pivots to focus on automated data connectors
- 2019Fivetran raises Series C funding as adoption accelerates
- 2021Fivetran raises a Series D valuing the company at roughly $5.6 billion
- 2023Fivetran acquires HVR to extend into enterprise data replication
- 2024Fivetran expands its platform to support data movement for AI and lakehouse use cases