Real-Time Data Pipeline Implementation for Enhanced Consumer Insights

As a competitive player in the consumer electronics industry, we recognize the need to leverage data for driving business growth and innovation. We aim to implement a real-time data pipeline that will allow us to gain deeper insights into customer behaviors and preferences, ultimately aiding in product development and marketing strategies. The project involves setting up a data mesh architecture utilizing Apache Kafka for event streaming, Spark for scalable data processing, and Airflow for workflow automation. Our data infrastructure will be supported by Snowflake and BigQuery for storage and analytics. Additionally, we plan to integrate MLOps practices to streamline the deployment and monitoring of machine learning models. The ideal candidate must ensure data observability and reliability throughout the pipeline, enabling our team to react swiftly to market changes. Deliverables include a fully operational data pipeline, documentation, and a training session for our in-house team.