CV

AWS (Amazon Web Services)

System Engineer II

Created Python applications to manage user lifecycle. The code runs using Lambdas and are triggered by an Event Schedule, and SQS (message queues) to trigger subsquent Labmdas. The applications query a 3rd party API, along with an internal API to calculate, and manage user lifecycle.
AWS Resources: Lambdas, DynamoDB, Cloudwatch, EventBridge, SQS, S3, IAM policies and Roles, Secret Manager.
Developed CI/CD pipeline written in Typescript to generates a Docker image and deploys containerized app managed by Kuberenetes using Fargate (Serverless computing). The code would build a Docker Image by install the 3rd party's RPM on an Amazon linux 2 (OS) Base Image, along with configuration files to build a Docker image. The containerized applications allowed for a secure connection between data sources and Software as a Service (SaaS).
AWS Resources: EC2, VPCs, NATs, IGW, ELastic IP, Subenets, EKS, Fargate, CloudWatch, NLB, Security Group.
- Cloudwatch used for Dashboards and Alerting
- FluentBit deployed as a sidecar for log collection
- VPC peering enabled secure connection to business units data source
Onboarded SaaS offerings at an Enterprise level. Took ownership of existing infrastructure, upgrading and maintaining. Configuring Single-Sign-On both in SAML or OIDC protocols.
Evaluate 3rd party SaaS offerings to onboard for our AWS internal users.

Creating System Designs for Core integrations (user lifecycle, log collection, Monitoring and Alerting)
Creating Threat Models to review with security for vulnerabilities.

Bloomberg L.P.

Senior Backend System Engineer

Maintained and helped developed Python service used to coordinate maintenance windows for 400+ servers, 40+ clusters. The service was used across the engineering teams to pull server maintenance window information. The service and client were using the Simple Object Access Protocol (SOAP), lightweight xml.
Server lifecycle management - commission and decommission of of our backend servers using ansible, and Ansible Tower. Involved in scripting, monitoring, troubleshooting, debuging.
Created a Python script to obtain backend server diskspace usage, across 400+ Backend servers. Help with visibility, budgeting and purchasing diskspace.

Bloomberg L.P.

Front End System Engineer

Created two Python scripts, to start and stop fix servers. The generic scripts read a configuration file with a list of server names to start and stop. This reduced the need to create separate start and stop scripts for each fix server instance. Greatly improve efficiency
Developed a script to process all incoming FTP files. The bash script processes incoming FTP files based on account logins and engineering teams requirements. The script take the account login as an argument, it reads a pipe delimited configuration file. An entry of the Account login is entered in the configuration file. The script helped to reduce the time needed to set up new incoming FTP accounts by more than 70%.

Bloomberg L.P.

Senior Operations Support Analyst

Wrote a bash script to generate a status report of the health of over 300+ servers. The script helped to automate the need for operators to manually run status commands on every server. Freeing up resouces to work on more urgent tasks.