Automated Repetitive Tasks (ART)

To help provide reliable, timely and repetitive data and analysis in a changing business landscape, I leveraged my knowledge of Oracle SQL, Linux, Docker and Kubernetes to build a collection of systematic tasks, and automated their execution and delivery.  

These tasks included:

1.  Looking for file processing errors and notification of problems. 

2. Looking to see if a report server daemon was stalled and notified support.

3. Searching for scenarios on our websites that might indicate fraud and notifying support.

4. Aggregating customer data into a file for business sales impact analysis.

5. Notification of large dollar transaction processing to help provide quality assurance analysis.

6. Aggregating ServiceNow ticket information and notifying people of aging support tickets and the status of support tickets across support team lines for use in a SharePoint Dashboard.

7. Preemptively looking for scenarios in data integrity and formatting to prevent errors in batch process ETL (extract transform and load) database processing.

These are just a few of over 40 small project deliveries I've implemented for our business partners, saving money, time and helping increase targeted feature utilization.