We are seeking an experienced data engineering consultant to optimize our current data pipeline infrastructure. Our enterprise company is focused on enhancing our analytics capabilities through real-time data streaming and processing. This project involves the integration of modern technologies like Apache Kafka, Spark, and Airflow to ensure seamless data flow and enhanced data observability for decision-making processes.
Our target users are internal business units such as marketing, operations, and finance who require real-time insights to optimize decision-making and improve business performance.
Our current batch-processing data infrastructure is inefficient for real-time analytics, delaying insights and hindering timely business decisions. This inadequacy compromises our ability to respond quickly to market changes.
Our company is eager to invest in this solution due to the significant competitive advantage it offers. The ability to process data in real-time is crucial for maintaining a leading edge in delivering timely insights, enhancing operational efficiency, and driving strategic decision-making.
If the problem remains unsolved, we risk falling behind competitors who utilize real-time analytics, leading to decreased market responsiveness and potential revenue loss.
Current alternatives include other enterprise data pipeline solutions, but many lack seamless integration with our existing infrastructure and do not fully support our real-time data processing needs.
This project will establish a scalable, real-time data infrastructure unique in its integration of advanced technologies and adherence to data mesh principles, providing superior data observability and reliability.
Our go-to-market strategy will leverage internal communications to promote the new capabilities across business units. The solution will be showcased in internal workshops and seminars to demonstrate its value and encourage adoption.