In my current role as a Data Engineer, I've had the opportunity to implement robust, real-time data pipelines using AWS Kinesis. A recent project I led involved building a solution for a retail client to provide real-time insights on their customer purchasing behaviors.
The data from various store registers were consolidated and streamed in real-time using Kinesis Data Stream. These streams were loaded into our Kinesis Data Analytics application, providing our client with real-time insight into purchasing trends and inventory needs.
One particular challenge was managing the high data volume during peak hours. To address this, I worked on adjusting the sharding in our Kinesis streams, ensuring smooth data flow regardless of the volume. As a result, our client could better understand their customer behaviors, leading to more effective inventory management and enhanced service delivery.