Qadeer Ahmed
About Qadeer Ahmed
Qadeer Ahmed is a Cloud and DevOps Architect at Fannie Mae in Chicago, Illinois, with extensive experience in cloud security, DevOps engineering, and infrastructure management.
Company
Qadeer Ahmed is currently working at Fannie Mae as a Cloud and DevOps Architect. He is based in Chicago, Illinois, United States.
Title
Qadeer Ahmed holds the title of Cloud And DevOps Architect at Fannie Mae.
Previous Experience
Qadeer Ahmed has held several roles in the DevOps and Cloud sector. He worked at PwC as a Senior DevOps Engineer from 2012 to 2018 in Chicago, Illinois, United States. Before that, he was a Lead DevOps Engineer at BMO from 2006 to 2012 in Chicago, Illinois. He also served as a Cloud Security Engineer at TEKsystems from 2002 to 2006 on-site.
Projects and Initiatives
Qadeer Ahmed managed the migration of a large-scale application to GCP at Fannie Mae, which reduced infrastructure costs and improved application performance. He created a strategic architecture vision using GCP to host enterprise data collation and analytics across the business. He also implemented backup and disaster recovery plans to ensure business continuity and reduce recovery time.
Technical Expertise
Qadeer Ahmed has extensive experience with various tools and technologies, including Splunk, Grafana, AppDynamics, and HP Web diagnostics for performance testing. He designed distributed multi-threaded processing systems using Big Data Map Reduce methodology, and utilized Docker for managing application lifecycles. He worked on the Ocean project to swap media content across platforms and installed DataStax OpsCenter for Cassandra Cluster maintenance. He is skilled in estimating cluster size, monitoring Spark Databricks clusters, and writing automation scripts with Python and Terraform.
Cloud Infrastructure Management
Qadeer Ahmed extended his Terraform expertise to manage complex GCP infrastructure. He was responsible for estimating cluster size, monitoring and troubleshooting Spark Databricks clusters, and creating resources in the OpenStack cloud using automation scripts written in Python and Terraform modules.