Process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.

End-to-end Data platform in AWS

End-to-end MLOps pipeline with Airflow and MLFlow

Build a multiclass classification model using a custom convolutional neural network in TensorFlow.

Spark ETL Application Boilerplate with Java and Spring

Spark ETL with Scala

Summary fundamental skills, knowledge of a Data Engineer. Strengthen theory by practical exercises.

Design a data governance solution for a manufactoring compay.