Work closely with stakeholders, data stewards, and data scientists to build cloud based solutions to solve mission critical challenges.Develop CI/CD pipelines to deploy highly available, fault tolerant infrastructure providing stable platforms for data storage, ETL, and visualization.Provide insight in deployment strategy and sustainment of new and currently used data platforms such as IBM Cloud Pak for Data, InfluxDB Enterprise, Grafana Enterprise, Neo4j Enterprise, Linkurious Enterprise and Tableau Server.Use SAFe agile methodology to deliver business value, providing iterative improvement via scrum and P.I. planning. This includes gathering business needs from stakeholders, creating objectives, mapping risks, creating stories, and balancing load vs capacity.

Heavy DevSecOps and Site Reliability responsibilities.Create CI/CD pipelines using Gitlab, Terraform, and Ansible for automated deployment of enterprise software solutions such as Neo4j, Linkurious, InfluxDB, Grafana, and Tableau Server on Windows and Linux.Producing infrastructure as code to deploy AWS resources (IAM Roles, Elastic Load Balancers, EC2 instances, and S3 buckets and objects, etc.) for quick application deployment and disaster recovery, follow well architected framework to ensure high availability, resilient, and secure deployments . Use of Ansible playbooks to provision and configure Linux servers and applications for immediate use, detect drift, and remediate as needed.Deploy and manage containerized applications in Kubernetes, and Kubernetes platforms such as Rancher, OpenShift, and Tanzu.Administer a Neo4j deployment consisting of 21 servers (6 clusters, 3 single node deployments). Complete patch maintenance, upgrades, backups, RBAC, disaster recovery plans, and roadmaps.

Deliver full-stack data solutions and pipelines across multiple teams.Transfer of data systems and storage from one AWS account to another using self developed automated processes.Worked on a team to deploy Neo4j graph dbms as proof of concept to data scientists.Deploy proof of concept for time series database InfluxDB and visualization tool Grafana for IoT anomaly detection.Use agile methodology to provide iterative improvements to products and platforms.

Data Analyst in support of the Army TADSS Maintenance Program (ATMP). Extensive use of Python and Microsoft Excel for ETL pipeline.Automation of data extraction, transformation, and loading to reduce manual data entry (calculated at 26 years to complete) to 4 months leading to the completion of the project 1 week ahead of schedule, avoiding substantial withholding of government funds calculated in the millions.Use of Python to cleanse hundreds of thousands of work orders and prepare for upload via SQL query.

Full-desk recruiterAccount management and business development of well-known companies such as Taylor Morrison and RP FundingLegal, hospitality, mortgage, and construction staffingInterview coaching, hiring, and terminations

Lead a team of 16 legal assistants for the firm’s largest client, Wells Fargo (consisting of approx. 60% of firm’s revenue)Worked directly with senior management at the firm and senior management at Wells Fargo to develop strategies to reach case goals using case data and workflow customization.Developed process improvements in conjunction with Business Analysts to reduce judgment entered from 180 days to 90 days Worked directly with Wells Fargo senior management to provide customer satisfaction and implement new client requirements.Promoted to Client Lead within 6 months without any legal experience. Typically, a process of 1-2 years.

Manage and improve daily operations for a small, start-up company.Responsible for maintaining and tracking inventory levels.Coordination with third party vendors to achieve company goals.Enhance customer experience and troubleshoot customer service related issues.Reduce overall costs within the company to maximize profit and reduce waste.