Advanced Data Integration and Real-Time Analytics for Personal Services

In the highly competitive personal services industry, staying ahead requires a deep understanding of customer behavior and operational dynamics. We aim to build a state-of-the-art data architecture that supports real-time analytics, enabling our team to make informed decisions swiftly. This project will involve establishing a data mesh architecture to decentralize data ownership and improve data accessibility across departments. By leveraging event streaming through Apache Kafka and data processing using Spark, we will create a seamless flow of information. Snowflake and BigQuery will be used to store and manage data, while Airflow will orchestrate data pipelines. dbt will facilitate data transformations, ensuring data quality and consistency. Our goal is to implement data observability to monitor data flow and integrity actively, ensuring we maintain the highest data standards. This initiative will not only optimize our internal processes but also significantly enhance the customer experience by delivering personalized services in real-time.