Contact Us

data engineering productivity
data engineering productivity

Event

How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams

July 24th - 1 pm EST

Virtual

data engineering productivity

Event

How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams

July 24th - 1 pm EST

Virtual

It is often difficult to know whether your data engineering team is as productive and competent as it should be. When a data engineering team can't get ahead of its backlog and business users complain incessantly, it's tempting to question the team's effectiveness and capabilities. But if you don't have deep knowledge of data engineering practices, you won't know whether a two-week turnaround on a data request is good or bad.

This webinar of seasoned data professionals will discuss the telltale signs that your data engineering team is working productively or not. They will also examine how to rehabilitate an unproductive team and how to set KPIs to measure their output objectively. If you've ever questioned the approach or capabilities of your data engineering team, you won't want to miss this session!

You Will Learn

•

What questions to ask your data engineering team

•

KPIs for measuring data engineering output

•

When it makes sense to hire more data engineers and not

•

Data engineering best practices your team should follow

Speakers

  • Wayne Eckerson, Strategic Consultant, Datalere

  • Carlos Bossy, CEO, Datalere

It is often difficult to know whether your data engineering team is as productive and competent as it should be. When a data engineering team can't get ahead of its backlog and business users complain incessantly, it's tempting to question the team's effectiveness and capabilities. But if you don't have deep knowledge of data engineering practices, you won't know whether a two-week turnaround on a data request is good or bad.

This webinar of seasoned data professionals will discuss the telltale signs that your data engineering team is working productively or not. They will also examine how to rehabilitate an unproductive team and how to set KPIs to measure their output objectively. If you've ever questioned the approach or capabilities of your data engineering team, you won't want to miss this session!

You Will Learn

•

What questions to ask your data engineering team

•

KPIs for measuring data engineering output

•

When it makes sense to hire more data engineers and not

•

Data engineering best practices your team should follow

Speakers

  • Wayne Eckerson, Strategic Consultant, Datalere

  • Carlos Bossy, CEO, Datalere

Meet the Author

Meet the Author

Josh Bartels

Josh Bartels

Chief Technology Officer

With over 20 years at the forefront of technology innovation, I've dedicated my career to delivering strategic solutions that drive business growth. As the Chief Technology Officer of UDig, I lead our technology vision, architecting solutions that transform how organizations leverage technology to generate impact.

Josh Bartels

Josh Bartels

Chief Technology Officer

With over 20 years at the forefront of technology innovation, I've dedicated my career to delivering strategic solutions that drive business growth. As the Chief Technology Officer of UDig, I lead our technology vision, architecting solutions that transform how organizations leverage technology to generate impact.

Josh Bartels

Josh Bartels

Chief Technology Officer

With over 20 years at the forefront of technology innovation, I've dedicated my career to delivering strategic solutions that drive business growth. As the Chief Technology Officer of UDig, I lead our technology vision, architecting solutions that transform how organizations leverage technology to generate impact.

Digging In

Related Insights

Loading insights…

Digging In

Related Insights

Loading insights…

Digging In

Related Insights

Loading insights…
Pick your Vibe

© 2026 UDig LLC. All rights reserved.

Pick your Vibe

© 2026 UDig LLC. All rights reserved.