Data Science team was in need of being able to perform extraction, load and transforms on files being uploaded in real time in AWS S3 Buckets. Result: Developed on-premise and development capabilities that would process files and upload the data into a desired Database within AWS.

Diagnosed, troubleshooted and resolved issue of Node.js, React.js and ElasticSearch application that was developed in-house which was experiencing issues connecting to ElasticSearch. Result: Was assigned the development and support for Node.js, React.js and ElasticSearch application.

Due to the lack of knowledge regarding the ELK Stack, organizations at times require an additional resource that has knowledge and capabilities of being able to support an ElasticSearch Cluster(s) whether on-premise or on AWS. Result: Being tasked with support of clusters with large ingestions of data that contain hot/warm/cold storage.

Organization was having AWS resource sprawl, there were no reports that would provide details for filtering, drilling and analyzing the resources existing AWS VPC’s. Result: Architected, developed and implemented a PowerShell and Python scripts that would inventory AWS resources and provide csv files that would allow for identifying which resources were not in use enabling cost savings resources. At the first utilization of the script $10K were saved in a single VPC; script was leveraged from there on for maintaining and reducing costs.