HomeUpcoming webinars
Free to Join

The New Data Engineering Team

Wednesday, July 22, 11 AM ET

Key Takeaways

  • Understand how the data engineering role is evolving and what it means for team structure and priorities.
  • Learn how AI agents are being applied to data engineering tasks and where they add the most value.
  • Discover the skills data engineers and their leaders need to succeed in an AI-augmented environment.

Your Presenter(s)

Pradnesh Patil headshot

Pradnesh Patil

Co-founder & CEO at Altimate AI

null logo

Pradnesh co-founded Altimate AI to build AI-native tools that help data teams move faster and with greater confidence. At Altimate, he leads development of DataPilot, an AI teammate that automates data documentation, quality testing, and query workflows for modern data stacks. His work focuses on embedding AI agents directly into the tools data engineers rely on daily. Previously, he held roles at Palo Alto Networks, Cisco, and VMware.

Neha Tharani headshot

Neha Tharani

VP of Data Engineering at Swiss Re

null logo

Neha manages a team that creates ETL pipelines, data analyses, and large-scale data solutions to support Swiss Re's key business functions. Previously, she was a data engineer both at Swiss Re and at Caterpillar, having transitioned into the field from Business Intelligence and software engineering.

Why this matters

The data engineering role is undergoing its most significant transformation in years. AI agents are beginning to automate routine pipeline work—from ingestion and testing to documentation—while raising new questions about what human data engineers should focus on. For leaders managing these teams, the pressure to adapt quickly is real: workflows are evolving faster than hiring plans.

In this panel interview webinar, Pradnesh Patil (Co-founder & CEO at Altimate AI) and Neha Tharani (VP of Data Engineering at Swiss Re) will explore how data engineering teams are changing in the age of AI. They'll discuss how AI agents are reshaping day-to-day workflows, what skills are becoming more—and less—valuable, and the practical challenges leaders face when developing and managing data engineering talent today.

Register for the webinar

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Share this webinar

Close your data and AI skills gap

We're the only platform uniquely engineered to advance data and AI skills across your entire organization. Let's explore a tailored program.

Book an Enterprise Demo
Upskilling a small team?Get started today

Recommended Content

Building High Performing Data Engineering Teams

Industry experts outline key strategies for building and sustaining high-performing data engineering teams.

Webinar

GPT-5.2 Codex Tutorial: Build a Data Pipeline in VSCode

Build a data engineering MVP with GPT-5.2 Codex. A step-by-step VSCode tutorial covering agentic coding, Python, DuckDB, and Streamlit workflows.

Tutorial

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.