Building a Real-time Data Pipeline for Enhanced Vocational Training Insights

As a rapidly growing vocational training provider, we face the challenge of effectively managing and analyzing vast amounts of data generated from diverse training programs. Currently, our decision-making relies heavily on delayed data reports, hindering our ability to adapt quickly to market demands. To address this, we are seeking a data engineering expert to develop a robust real-time data pipeline. This project will involve setting up an integrated system using Apache Kafka for event streaming, Spark for processing, and Snowflake or BigQuery as the data warehouse. Additionally, we aim to leverage Airflow for workflow management and dbt for data transformation. The pipeline will enable real-time analytics, providing immediate insights into program performance, learner engagement, and completion rates. By implementing this solution, we anticipate enhanced operational efficiency, better resource allocation, and improved training outcomes. The successful execution of this project will position us at the forefront of the vocational training industry, equipped to make informed, data-driven decisions swiftly.