Hadoop tools to move files from local file system to HDFS

I am doing a POC on ways to import data from a shared network drive to HDFS. The data will be in different folders on the shared drive, and each folder will correspond to a different directory on the HDFS. I've looked at some popular tools that do this, but most are designed to move small chunks of data, not the entire file. These are the tools I found, are there others?

Apache Flume: If there are only a few production servers that are producing data and the data does not need to be written in real time, then it might also make sense to just move the data to HDFS over Web HDFS or NFS, especially if the amount of data being written out is relatively less - multiple files with a few GB every few hours won't harm HDFS. In this case, planning, configuring and deploying Flume may not be worth it. Flume is really designed to push events in real time, and the data stream is continuous and the volume is large enough. [Online Safari Fluid Book & Cookbook)

Apache Kafka: Producer-Consumer Model: Messages are persisted to disk and replicated within the cluster to prevent data loss. Each broker can handle terabytes of messages without impacting performance.

Amazon Kinesis: Paid version for real-time data like Flume

WEB HDFS: Send HTTP PUT request without automatic redirection and without sending files. Send another HTTP PUT request using the URL in the Location header with the file data to be written. [ http://hadoop.apache.org/docs/r1.0.4/webhdfs.html#CREATE]

Open source projects: https://github.com/alexholmes/hdfs-file-slurper

My requirements are simple:

• Ask the directory for the file, if the file arrives, copy it to HDFS and move the file to the "processed" directory.
• I need to do this for multiple directories