Yogesh Bhosale

Professional Summary

Site Reliability Engineer with overall 4 years of experience ensuring reliability, scalability, and performance of enterprise systems. Skilled in cloud infrastructure (AWS, Azure), CI/CD automation (GitHub Actions), and Infrastructure as Code (Terraform, Ansible). Experienced in incident response, monitoring, and observability with Prometheus, Grafana, and New Relic. Adept at root cause analysis, performance optimization, and implementing proactive solutions to minimize downtime. Collaborative professional recognized for troubleshooting, documentation, and building secure, resilient workflows aligned with business continuity.

Technical Skills

• Cloud Platforms: AWS, Azure
• Framework & Practices: ITILv4, SLI, SLO, Error Budget
• CI/CD Tools: Jenkins, GitHub Actions
• Monitoring & Observability: Grafana, Prometheus, New Relic
• Containerization & Orchestration: Docker, Kubernetes
• Version Control & Repositories: Git, GitHub
• Operating Systems: Linux, Windows Server
• Incident Management & Alerting: PagerDuty
• Enterprise Data Platform: ADF, Synapse Analytics, Power BI, Databricks
• Infrastructure as Code (IaC) & Configuration Management: Terraform, Ansible
• Security Tools: AWS IAM, Azure Entra ID

Work Experience

TMF Group – Pune | Associate – Global Site Resilience Management (Sep 2023 – Present)

• Designed and deployed containerized applications using Docker and Kubernetes, improving scalability and reducing deployment time.
• Implemented Amazon ECS and EKS clusters for production workloads, ensuring high availability and cost optimization.
• Automated CI/CD pipelines with GitHub Actions and Ansible, embedding DevSecOps practices to integrate security checks into build and deployment workflows.
• Migrated legacy applications to cloud native architectures on AWS, leveraging Terraform for Infrastructure as Code.
• Optimized resource utilization with Karpenter on EKS, reducing infrastructure costs by 15%.
• Developed monitoring and observability solutions using Prometheus and Grafana, enabling proactive incident response and improved system reliability.
• Enhanced application performance monitoring with New Relic, accelerating troubleshooting and root cause analysis.
• Applied Site Reliability Engineering principles from SLO and error budget frameworks to balance reliability with feature delivery.
• Documented best practices and resilience workflows, strengthening operational excellence and knowledge sharing across teams.

Proventeq – Pune | Data Engineer – Cloud Solutions (Mar 2022 – Jul 2023)

• Designed and deployed end to end ETL pipelines using Azure Data Factory (ADF).
• Built and managed Azure Data Lake Storage Gen2 environments to support scalable storage and analytics.
• Developed PySpark notebooks in Azure Databricks for batch and streaming transformations.
• Integrated Azure SQL Database as a serving layer for curated datasets.
• Implemented secure credential management with Azure Key Vault.
• Delivered interactive Power BI dashboards to visualize KPIs.
• Ensured data quality and reliability by applying validation checks and monitoring pipeline performance.
• Documented best practices and reusable workflows, improving team efficiency.