In my current role as a Data Engineer at DataGeeks, I've had extensive professional experience with Google Cloud Platform, with an emphasis on GCP Dataflow. A significant project I handled involved processing and analyzing large datasets from a client's IoT device network.
I chose to use GCP Dataflow for its ability to effectively process both real-time and batch data, a requirement critical to the project. By setting up a streaming pipeline, I enabled the processing of data from thousands of IoT devices in real-time. I also implemented the Apache Beam SDK to build the Dataflow pipelines, which gave us the flexibility to switch between batch and streaming data processing as needed.
Through this project, I developed an improved logging system and implemented custom windowing functions to better manage data aggregation. After pushing these enhancements, we noticed a significant improvement in our analysis accuracy and processing speed.