AI as Skill Equalizer: Building Observability When You're Not a Specialist

I’m a backend engineer with 25+ years of experience, but I’m not a Snowflake power user. I haven’t memorized how to build HEX dashboards either. I had a problem: mobile attribution gaps. Users were tapping a CTA, but conversions weren’t being credited. The tricky part wasn’t “is there a bug?” It was where the signal was lost: event emission, ingestion, attribution windows, or something unknown. I knew the questions. I just couldn’t translate them into Snowflake queries fast enough to keep the investigation moving. And contacting the data team to help with queries is a slow process.

AI changed the workflow. It handled the boring-but-critical mechanics (query structure, joins, aggregations) and helped me build dashboards, so I could focus on the investigation itself. The key detail: AI didn’t solve the problem. I did. But AI was the tool that let me unblock myself and find the issues without filing a ticket or waiting for help. Have you ever been blocked by a skill gap that wasn’t core to your job? This talk is for you.

Speaker

vadim-uchitel

Vadim Uchitel

  

Vadim Uchitel is a Principal Engineer at Fetch with over 25 years of software development experience. He began his career building real-time visualization software for NASA and DoD; his bdStudio tool

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