Krishna G.
Krishna G.
About
Detail
Staff AI Data Engineer at Opendoor
Hyderabad, Telangana, India
I build the data infrastructure that billion-dollar companies make decisions on.
At Opendoor, I architected the data platform powering 70%+ of company dashboards -- replacing 100+ duplicated datasets with 3 unified models, cutting $300K/year in BI costs, and establishing the authoritative data layer for executive decisions across Sales, Operations, and Customer Success.
At American Express, I built fraud detection pipelines that blocked $100M+ in annual losses. At Grubhub, I engineered the competitive intelligence platform aggregating pricing and availability across 300K+ restaurants. At Booking.com, I re-architected financial data pipelines, cutting latency by 40%.
I also engineered an AI-augmented development system that connects 15 enterprise platforms into a single orchestration layer. Workflows that took a week now ship in under an hour. One engineer, full-team output. Two of these tools are now open source:
Open source: github.com/krishna-goje/quicksight-mcp (31-tool MCP server for AWS QuickSight)
Open source: github.com/krishna-goje/slack-data-bot (autonomous data Q&A with Writer/Reviewer loop)
Fourteen years building data platforms that drive real business outcomes -- now focused on what happens when AI-augmented engineering becomes the standard, not the exception.
Portfolio and case studies: https://krishna-goje.github.io
If you are building a Staff/Principal-level data platform team or thinking about AI-augmented engineering at scale, let's talk.
At Opendoor, I architected the data platform powering 70%+ of company dashboards -- replacing 100+ duplicated datasets with 3 unified models, cutting $300K/year in BI costs, and establishing the authoritative data layer for executive decisions across Sales, Operations, and Customer Success.
At American Express, I built fraud detection pipelines that blocked $100M+ in annual losses. At Grubhub, I engineered the competitive intelligence platform aggregating pricing and availability across 300K+ restaurants. At Booking.com, I re-architected financial data pipelines, cutting latency by 40%.
I also engineered an AI-augmented development system that connects 15 enterprise platforms into a single orchestration layer. Workflows that took a week now ship in under an hour. One engineer, full-team output. Two of these tools are now open source:
Open source: github.com/krishna-goje/quicksight-mcp (31-tool MCP server for AWS QuickSight)
Open source: github.com/krishna-goje/slack-data-bot (autonomous data Q&A with Writer/Reviewer loop)
Fourteen years building data platforms that drive real business outcomes -- now focused on what happens when AI-augmented engineering becomes the standard, not the exception.
Portfolio and case studies: https://krishna-goje.github.io
If you are building a Staff/Principal-level data platform team or thinking about AI-augmented engineering at scale, let's talk.
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