Failed data load?Let’s find out why.
I set up AI agents that investigate failed AWS and Snowflake loads, then run only the fixes you enable in YAML.
Less log hunting.
More useful answers.
A failure alert is a starting point. The agent follows the evidence and brings back an explanation your team can act on.
Hermes watches the logs you choose for signs of a failed load, then checks the relevant logs and data within the access you allow. Your YAML controls the fixes it can run. As the agent learns from incidents, it suggests new playbooks for you to enable.
Talk through a failing loadYour data. A little less detective work.
You bring the recurring problem. I handle the agent, from the first setup to ongoing support.
Tell me about a data load that keeps breaking and I’ll work out what the agent should watch and what a useful answer looks like. I’ll connect Hermes to approved AWS and Snowflake logs and data with clear limits on its access, test investigations and YAML-controlled recovery with you, and help tune the agent as it learns from incidents.
Tell me what keeps breakingGood people. Real data work.
Feedback from my data engineering and analytics clients.
“Artem’s team built a Snowflake Cortex agent over our Salesforce lead and activity data. It cuts through the noise and surfaces the physicians with the strongest fit for each new launch, so our outreach goes where it counts.”
Suri R.
Head of Commercial AnalyticsCompany withheld
“Loading data from S3 into Snowflake used to mean a ticket to data engineering every time. Now users define their own schemas and configuration, track progress, and get notified. When a load fails, a Hermes agent investigates and proposes the fix.”
Sid S.
Director of Analytics EngineeringCompany withheld
“Giving teams visibility into their own loads removed a major operational bottleneck. Agents investigate routine issues and propose fixes, the people closest to the data approve them, and our engineers stay focused on improving the platform.”
Deepak V.
VP of DataCompany withheld
“We were short-handed and needed experienced help fast. Artem designed and deployed agents to monitor our pipelines on an entirely open-source stack, and we ended up with a foundation we could run and extend ourselves.”
Anonymous client
Data pipeline engagementCompany withheld
A few useful answers.
What does the agent actually do?
It investigates failed AWS and Snowflake loads, explains the evidence, and runs only the recovery steps you’ve enabled.
How do I control automated fixes?
Your YAML defines which fixes may run. The agent suggests new recovery playbooks as it learns, but only you can enable them.
Can I see how it works?
Yes. The GitHub project demonstrates AWS investigation. I adapt that approach to your AWS and Snowflake loads, with recovery controlled by your YAML.
What can I start with?
Start with a recurring AWS or Snowflake loading failure. I’ll agree the signals, access, and recovery rules with you before building.