Real-time Data Infrastructure Overhaul for Community Development Initiatives

In the realm of community development, the ability to make informed, data-driven decisions can significantly enhance the effectiveness of our programs. Our enterprise company is focused on enhancing our current data infrastructure to accommodate real-time analytics and improve our data processing workflows. The project requires the implementation of a data mesh architecture, which decentralizes data ownership and ensures high data quality across various departments. The selected freelancer will be responsible for setting up event streaming with Apache Kafka to capture and process data in real-time, utilizing Spark for large-scale data processing, and integrating with cloud-based data warehouses like Snowflake or BigQuery. In addition, the project involves implementing MLOps practices to streamline machine learning model deployments and ensuring data observability to monitor and optimize data performance. The goal is to create a resilient and flexible data infrastructure that supports rapid decision-making, thus enhancing the community services we provide.