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Taofeek Adeshina

@taofeekadeshina

Senior Site Reliability Engineer at Microsoft improving telemetry processing efficiency by 30% across cloud services.

At Microsoft, I designed telemetry, monitoring, and metrics pipelines that improved data processing efficiency by 30%. I also enhanced observability and incident detection across cloud services.

At Promudi Software Company, I managed production Kubernetes clusters and improved CI/CD processes, increasing deployment frequency by 30% and reducing deployment failures by 50%. I’ve also worked on AWS infrastructure, automation, incident response, and service reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior Site Reliability Engineer

Current

Microsoft Corporation

Jan 2022 - Present (4 years 9 months)

Designed and implemented telemetry, monitoring, and metrics pipelines using Aria.ms, Azure Data Explorer, Azure Monitor, Geneva, and Kusto, improving data processing efficiency by 30% and strengthening observability across large-scale cloud services. Enhanced centralized observability using Prometheus, Grafana, Azure Monitor, Application Insights, and Log Analytics, improving anomaly detection and

Site Reliability Engineer

Promudi Software Company

Sep 2017 - Jan 2022 (4 years 4 months)

Built and maintained infrastructure-as-code workflows using Terraform and Azure DevOps, incorporating tfsec security scanning to identify configuration risks before deployment. Developed CI/CD pipelines using Azure DevOps, Jenkins, Git, and Ansible to improve deployment consistency and reduce manual operational effort.

Terraform Azure DevOps TFSEC Jenkins Git Ansible Kubernetes Amazon EKS Docker Datadog OpsGenie CI CD Incident Response On Call Root Cause Analysis NIST ISO 27001 SOC2 Disaster Recovery SLOs

DevOps Engineer / Cloud Engineer

Skylar Business Solutions

Sep 2015 - Aug 2017 (1 year 11 months)

Provisioned and maintained AWS infrastructure using Terraform and CloudFormation, creating repeatable environments through infrastructure-as-code practices. Automated infrastructure provisioning, server configuration, and application delivery workflows to reduce manual effort and improve consistency.