Lena Chew

•Designed, implemented, documented and supported complex tools used by developers and testers for hardware simulated project and performed automated simulation. •Designed Realtime simulated Robotics dataflow pipeline using pub/sub messaging, IOT Core & Cloud function to access gRPC message on client/server fashion across various dashboard widgets including graphs using GCP, Python along with website using Angular 6 & Javascript •Working on Caching Database system containing MySql Database, memcached API, containerized PHP server, Python client, enabling easy deployment and autoscaling without reserving resources. •Assisted in Database, System and Application tuning for scalability and maximum availability of resources. •Deployed, maintained high availability web sites and enabled NGINX ingress controller in order to maintain the load balancer for the front end Robotics data dashboard web site. • Deployed zero downtime migration plan writing Ansible roles enabling infrastructure as code for automating self signed key rotation every 90 months on all the servers and Linux networking commands for debugging. •Designed Automation framework to install and maintain LXC, Docker & PaaS applications in Python & C++ •Planned and performed software upgrades on multiple technical platforms, new infrastructure design ensuring consistency and less human error and reducing time complexity. •Designed and implemented custom Linux OS Patching with Ansible and reduced server time upgrade to 7 minutes per server.

• Serving as the Chief Officer of the Senate. • Managing the Graduate Student Senate Trust Fund, administration in conjunction with the Governing council and at the direction of Senate. Managed Childcare Assistance Program for the Graduate families along with managing general elections for Senates and handled all the Senate meetings.

•Averted up to 9% in revenue and profit fluctuations by implementing a front-end server using Cognos framework, reporting solutions based on business needs. •Introduced metadata models using Relational Online Analytical Programming. Normalized dimensional hierarchies using star and snowflake schema, improving data analysis and organization. •Participated heavily on the Quality Assurance (QA) and user acceptance testing (UAT) support teams. •Delivered an improvement in Gross Add accuracy from 1.5 to 0.2 percent through regression testing. •Cut multi-million-dollar revenue leakage from 7% to 0.2% as the leader of a 3-person team tasked with creating a Performance Analysis Dashboard to more effectively identify marketing and customer usage patterns across diverse geographies in Africa. •Guided team in optimizing Business Intelligence (BI) tools in 19 countries of Africa through creation of web portals over previous MIS systems. •Devised Cognos Power Cubes for various types of analysis and navigated the challenges of poorly performing servers by devising a script enabling the simultaneous refresh of 9 cubes, employing load balancing, and using two servers. • Formulated incisive BI interface reports using Active Reports, including advanced visualizations, for offline viewing on mobile devices. Script additionally limited errors to one cube, enabling quick fixes.