# Q&A with Zach Week 1

> The first Q&A session of the boot camp covers a range of topics relevant to data engineering, including techniques for validating pipeline performance and data quality, the relevance of functional programming, and strategies for handling late arriving data. Participants will benefit from insights o…

- Web page: https://www.dataexpert.io/lesson/qa-with-zach-week-1-may2025
- Program: [Spring Data Engineering Boot Camp Starting May 26th, 2025](https://www.dataexpert.io/program/spring-data-engineering-boot-camp-starting-march-10th-6262)
- Access: Requires enrollment in Spring Data Engineering Boot Camp Starting May 26th, 2025
- Length: 51 min video
- Skills: MLOps, Data Modeling, ETL/ELT, Apache Spark, APIs, Leadership, Problem Solving, Kafka
- Academy: DataExpert.io Academy

## About this lesson

The first Q&A session of the boot camp covers a range of topics relevant to data engineering, including techniques for validating pipeline performance and data quality, the relevance of functional programming, and strategies for handling late arriving data. Participants will benefit from insights on creating item potent pipelines, effective cross-functional leadership, and the differences between data engineering and analytics roles. This session is ideal for those looking to deepen their understanding of practical data engineering challenges and solutions.

## Navigation

- Previous lesson: [Spark Basics](https://www.dataexpert.io/lesson/spark-basics-may2025.md)
- Next lesson: [Q&A with Zach Week 2](https://www.dataexpert.io/lesson/qa-with-zach-week-2-may2025.md)