Kshitij Aranke is a Data Engineer based in London with 7 years of experience building scalable data platforms and production pipelines across startups and hyperscale companies. He has driven cost-saving, high-impact projects at Amazon and LinkedIn—converting JSON to Parquet and automating retention policies that saved over $1M/year—and led warehouse rebuilds and CI/CD adoption using dbt best practices at Vouch. As a senior contributor to dbt-core, he added commands like show, retry, and clone and helped improve test coverage and tooling for the broader analytics engineering community. Now at ElevenLabs, he blends hands-on engineering with open-source stewardship to deliver reliable transformation and observability workflows. Known for turning messy data into auditable, production-ready datasets, he brings a practical systems mindset paired with a taste for developer ergonomics.
7 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Minnesota
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Data Engineer
Contributions:73 reviews, 9 commits, 162 PRs in 1 month
Contributions summary:Kshitij's commits primarily focus on modifying and improving dbt-core, a tool for data transformation. Their work involves modifying Python models and materializations, changing default materialization to table, and updating unit tests. Further contributions include porting test cases to Pytest, and adding support for test and show commands.
Contributions:5 releases, 29 PRs, 85 pushes in 6 months
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