Online Data Engineering Workshop

This workshop focuses on building modern-architecture based ETL pipelines. You will get hands on experience by creating an end-to-end practical project by doing live coding. Training contents includes, but not limited to:

• Python for Data Engineering
• Airflow (modern workflow orchestration tool)
• Docker
• Postgres, Redshift and BigQuery
• Kubernetes

32-hours training certificates will be presented to the participants.

Classes Schedule

This will going to be a weekend based 32 hours long course, spanning over 4 weekends. Classes schedule look like:

Who should take this Course?

This workshop is designed for software engineers willing to develop a Data Engineering pipeline or existing Data Engineers to understand modern workflows. This workshop is for Data Architects, Managers and Data Engineers, who are responsible for designing and building the organization’s data-centric infrastructure. Analysts can also take this course in order to learn how data is pre-processed, which can further be used for analytics.