Business Intelligence Engineer, Worldwide Consumer FinTech at Amazon
Atlanta, Georgia, Canada
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Summary
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Rockstar
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Salil Vaidya is a Business Intelligence and Data Engineering professional with 8 years of experience building analytics, ML-driven insights, and cloud-native solutions across supply chain and commercial teams. Currently a BI Engineer II at Amazon focused on Supply Chain Optimization Technologies, he blends SQL/Tableau-backed analytics with production data engineering and DevOps practices to turn complex operational problems into measurable business outcomes. A Columbia-trained operations researcher, he has a strong background in predictive modeling, NLP, and dashboarding from roles at Zoetis and Dun & Bradstreet. Beyond analytics, Salil contributes to notable open-source projects—adding Amazon Bedrock support to the Zed code editor and implementing KNative Eventing for AWS EKS Blueprints—demonstrating hands-on cloud and backend engineering chops. Colleagues describe him as someone who bridges product-facing analysis with scalable implementation, often surfacing non-obvious optimizations that improve efficiency end-to-end.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Operations Research, Master's degree, Operations Research at Columbia University
B.E., Electronics Engineering, B.E., Electronics Engineering at University of Mumbai
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Role in this project:
Back-end Developer
Contributions:22 reviews, 36 PRs, 113 comments in 1 year 7 months
Contributions summary:Salil primarily contributed to integrating Amazon Bedrock support within the Zed code editor's assistant functionality. Their work involved adding Bedrock as a language model provider, including configuration options, authentication methods, and model support. The commits focused on building and integrating the necessary client libraries and functionality to interact with the Bedrock API, enabling the assistant to leverage various models and features. Furthermore, they addressed and fixed region-related issues within the provider.
Contributions:9 reviews, 37 commits, 8 PRs in 4 months
Contributions summary:Salil focused on implementing and configuring the KNative Eventing add-on within the EKS Blueprints framework. Their contributions included setting up the KNative Eventing core components, optimizing imports, and addressing issues with YAML parsing. The user also worked on integrating the KNative operator, demonstrating an understanding of deploying and managing applications on Kubernetes. This involved modifications to existing add-on structures and testing within the deployment pipeline.
aws
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