Ali Dewji is a results-driven real estate professional with 10 years of experience bridging client-focused sales and technical problem-solving. Based in Canada, he has progressed from account and operations roles in telecom to senior sales and real estate positions, consistently delivering revenue growth and top-performer recognition. Beyond property transactions, Ali has contributed to open-source data tooling—helping improve dbt's BigQuery adapter by adding authorized view support and policy tag handling—demonstrating a hands-on aptitude for backend data engineering. He blends integrity-focused client advocacy with a pragmatic, technical mindset that streamlines complex deals and data workflows. A York University alumnus in Business Administration, Ali is equally comfortable negotiating high-stakes contracts and reviewing code-level details to ensure robust outcomes.
10 years of coding experience
9 years of employment as a software developer
Business Administration and Management, General, Business Administration and Management, General at York University
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:29 commits, 6 PRs, 44 comments in 2 months
Contributions summary:Ali primarily contributed to the dbt-core repository by implementing and modifying BigQuery adapter functionality. They focused on adding support for BigQuery authorized views, relation renaming, and modifying how access is granted to datasets. The user also addressed code style issues by fixing spacing, semicolons, and other small changes.
dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database.
Role in this project:
Back-end Developer / Data Engineer
Contributions:17 commits, 1 comment in 2 months
Contributions summary:Ali primarily contributed to the dbt-bigquery adapter, focusing on enhancing its functionality and maintainability. Their work included bug fixes related to view creation and semi-colon placement. They also implemented features like support for BigQuery authorized views and relation renaming. Furthermore, the user addressed comments from pull requests and added support for policy tags.
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