When Your Senior Data Scientist Quits and it's only Monday Morning

Chris Billingham
September 29, 2025
Blog

Picture this: You walk into work on Monday morning and your senior data scientist, the one who's been with your team for years, who understands all the arcane business processes and knows where the bodies are buried in your ML pipelines, hands in their notice. 

Meanwhile, your newest data scientist has just spent six weeks trying to figure out a "simple" pipeline, attempting to understand what the data and scripts actually do, deciphering mysterious user functions, and they still haven't made the changes you asked for.

If this sounds like your Monday, you're not alone. This scenario plays out in data teams everywhere, and it highlights a fundamental problem: most ML pipelines are essentially undocumented black boxes that exist only in the minds of their creators.

The Real Cost of Undocumented Pipelines

When institutional knowledge walks out the door, teams face weeks or months of productivity loss. New hires shouldn't need a PhD in archaeology and business processes to understand your pipelines, but that's exactly what happens when documentation is sparse or nonexistent. And what do you get? Frustrated talent, delayed projects, and significant business risk.

How Lineage from Etiq Solves the Documentation Crisis

This is where Etiq's Data Science Copilot transforms your workflow. Instead of relying on code comments and hope, our Lineage feature creates visual maps of the interplay between your data and code, making complex pipelines instantly understandable.

Practical Steps to Get Started:

1. Install and Scan Your Pipeline
Simply run Etiq's Lineage on your existing scripts. The tool analyzes your code directly in your IDE, requiring no changes to your current workflow.

2. Follow the Data Trail
Lineage visualizes how data flows through your pipeline, showing you the logical connections between different operations. You can trace any single data table through your entire process, seeing what functions work on it, what outputs are created, and how everything connects.

3. Navigate Complex Operations
Need to understand where data for a join originated? Want to see how it was created and what its outputs were? Even if these operations happen at completely different points in your script, Lineage shows the logical flow clearly.

4. Export for Stakeholders
Once your pipeline is mapped, export the lineage documentation. This creates compliance-ready documentation that both technical and non-technical stakeholders can understand.

Immediate Impact on Your Team

With Lineage, your Monday morning problems disappear:

  • Senior knowledge transfer: No more worrying about what departing team members' pipelines actually do, just run Lineage and the complexity becomes clear
  • Faster onboarding: New data scientists understand pipelines in minutes, not weeks, becoming productive almost immediately
  • Seamless collaboration: When work passes between team members, productivity doesn't drop because everyone has access to the same clear understanding

Beyond Documentation: Building Sustainable Practices

Etiq's approach ensures that pipeline documentation happens by default, not as an afterthought. Every pipeline your team builds can automatically generate comprehensive, visual documentation that scales with your projects.

This isn't just about solving today's problems, it's about preventing tomorrow's. With Etiq's Lineage, you're building a foundation where institutional knowledge is captured, shared, and preserved, regardless of team changes.

Ready to solve your Monday morning problems? Try Etiq's Data Science Copilot with our 30-day trial and see how Lineage can transform your team's productivity and documentation practices.

Get Started Today