# Airflow Day2 Lab

> The Airflow Day2 Lab focuses on enhancing data quality in ETL processes using the Pie Iceberg API. Participants will learn to identify and resolve common data quality issues, such as duplicates and incorrect currency formats, while working with stock ticker data. This hands-on session is ideal for…

- Web page: https://www.dataexpert.io/lesson/airflowday2lab-jan2026
- Program: [Winter 2026 Analytics Engineering Camp](https://www.dataexpert.io/program/winter-2026-snowflake-boot-camp)
- Access: Requires enrollment in Winter 2026 Analytics Engineering Camp
- Length: 59 min video
- Skills: SQL, Python, ETL/ELT, Airflow
- Academy: DataExpert.io Academy

## About this lesson

The Airflow Day2 Lab focuses on enhancing data quality in ETL processes using the Pie Iceberg API. Participants will learn to identify and resolve common data quality issues, such as duplicates and incorrect currency formats, while working with stock ticker data. This hands-on session is ideal for data engineers and analysts looking to improve their skills in data validation and pipeline management using Apache Airflow and Python.

## Navigation

- Previous lesson: [How to load data into Iceberg with Airflow](https://www.dataexpert.io/lesson/howtoloaddataintoicebergwithairflow-jan2026.md)
- Next lesson: [Backfilling with Airflow](https://www.dataexpert.io/lesson/backfillingwithairflow-3483a.md)