Real-Time Data Pipeline Implementation for Enhanced Market Insights

We are a burgeoning startup in the Research & Analytics industry, focused on delivering cutting-edge market insights. To enhance our service offerings and meet growing client demands, we need to establish a real-time data pipeline. The project involves architecting a solution that seamlessly integrates various data sources, processes data efficiently, and supports real-time analytics. We plan to leverage technologies such as Apache Kafka for event streaming, Spark for data processing, and Snowflake for storage. The pipeline should be scalable, ensuring data accuracy and timeliness. Additionally, implementing data observability tools will be crucial for monitoring data flow and quality. Our goal is to reduce latency significantly and provide clients with fresh insights quickly, driving better decision-making. We seek a freelancer who can bring expertise in MLOps and data mesh architectures, ensuring our infrastructure is future-proof and adaptable to evolving analytics needs.