Site Reliability Engineer, Data Resume Pavel Patton Site Reliability Engineer, Data (312) 555-6941 pavel.patton@example.com linkedin.com/example/pavelpatton Chicago, IL 60607 STRENGTHS Incident Recovery During a difficult production event, organized evidence and ownership first. Teams regained direction, then restored service. Observability Turned scattered logs and metrics into useful signals. Colleagues began seeking guidance on dashboards and alert quality. Infrastructure Automation Used Terraform, Ansible, and Python for repeatable delivery. Fewer manual steps made releases easier to trust. Stakeholder Partnership Translated platform risk for data, product, and development partners. Decisions became clearer in busy incident reviews. Operational Documentation A practical runbook often prevented a second incident. Recovery steps became easier for engineers to follow. SKILLS Site Reliability Engineering Data Infrastructure AWS GCP Azure Kubernetes Docker Terraform Ansible CI/CD Python Go MySQL PostgreSQL NoSQL LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 6.7 Years Senior Site Reliability Engineer, Data at NorthLoop Data Platforms (2.6 Years) Site Reliability Engineer at Prairie Cloud Analytics (1.7 Years) DevOps Engineer at Great Lakes Software Systems (1.5 Years) Junior DevOps Engineer at Lakeshore Digital Labs (11 Months) SUMMARY Data focused Site Reliability Engineer with seven years of experience operating cloud based distributed systems, data pipelines , storage platforms, and production automation. Builds dependable services across AWS environments with Kubernetes, Docker, Terraform, Ansible, CI/CD, and Python, plus working exposure to GCP and Azure. Manages MySQL, PostgreSQL, NoSQL systems, ETL pipelines, and large scale data processing. Improves reliability through Prometheus, Grafana, ELK Stack , incident response, capacity planning, disaster recovery , performance tuning, and security minded infrastructure operations. Partners effectively with data engineering, data science, product, development, and operations teams, translating technical risk into practical decisions. Clear architecture documentation, runbooks, recovery procedures, and knowledge sharing support consistent delivery. This background can help a data platform team scale services safely, recover faster, and maintain trusted production performance. EXPERIENCE Senior Site Reliability Engineer, Data NorthLoop Data Platforms February 2024 - Present Chicago, IL Owns reliability for AWS data services and distributed ETL platforms, guiding incident recovery, capacity decisions, security improvements, and operational standards across engineering stakeholders. Improved AWS ETL reliability through Kubernetes telemetry, Python automation, and corrective action reviews. Built Prometheus and Grafana signals that gave teams earlier warning during production data failures. Tuned PostgreSQL queries and NoSQL workflows, improving processing consistency for large datasets. Strengthened disaster recovery with Terraform, documented runbooks, and repeatable recovery exercises. Coordinated data engineering and development recovery efforts, restoring service with clear ownership. Site Reliability Engineer Prairie Cloud Analytics May 2022 - January 2024 Schaumburg, IL Managed AWS and GCP data infrastructure , deployment workflows, database operations, and production support while partnering with application and data teams on scalable service delivery. Automated AWS and GCP deployments with Terraform, Ansible, Docker, and Kubernetes delivery workflows. Used ELK Stack logs and pipeline telemetry to isolate production faults before customer impact grew. Improved PostgreSQL and NoSQL performance through query reviews, resource analysis, and targeted tuning. Created recovery procedures that made backup validation and incident response more consistent. Supported capacity planning with data engineering, aligning infrastructure growth with processing demand. DevOps Engineer Great Lakes Software Systems October 2020 - April 2022 Milwaukee, WI Supported AWS infrastructure, release automation, database operations, and production troubleshooting for application and data platforms, with a focus on repeatable delivery and recovery. Automated AWS releases with Docker, Python, and CI/CD workflows, reducing manual deployment effort. Built Grafana dashboards and ELK Stack searches that shortened production troubleshooting sessions. Supported MySQL and PostgreSQL maintenance through backup checks, query reviews, and operational documentation. Improved rollback and recovery practices through tested procedures and clearer release ownership. Partnered with application and data teams during incidents, resolving dependencies without losing delivery focus. Junior DevOps Engineer Lakeshore Digital Labs October 2019 - September 2020 Madison, WI Supported cloud hosted development and test environments, release validation, Linux operations , and early incident response under senior engineering guidance. Created Python utilities for Linux environment checks, improving consistency during release validation. Containerized development workflows with Docker , giving engineers repeatable local test environments. Collected centralized logs and dashboard evidence to help senior engineers isolate deployment issues. Documented rollback steps that made support handoffs clearer during early production incidents. Validated AWS deployments with senior engineers, catching configuration issues before release completion. PROJECTS Distributed Data Recovery Program 2024 Built a recovery program for distributed data services using documented procedures, backup validation, infrastructure as code, and recovery exercises. Shared practical guidance with engineering partners so service restoration decisions stayed clear during incidents. Cross Cloud Pipeline Reliability 2023 Improved pipeline operations across AWS and GCP by combining Kubernetes, Docker, telemetry, capacity reviews, and deployment automation. Connected data and platform teams around shared reliability goals and more predictable processing. LEADERSHIP & AWARDS Recognized by engineering leadership for dependable recovery coordination during high priority data incidents. Selected as a trusted reviewer for infrastructure changes, operational risk, and production readiness. Praised by peers for practical runbooks, clear stakeholder updates, and useful knowledge sharing. EDUCATION Bachelor of Science in Computer Science University of Wisconsin Madison GPA: 0 2019 Madison, WI Coursework: Distributed systems, Database management, Operating systems, Software engineering CERTIFICATIONS AWS Certified SysOps Administrator Associate 2023 HashiCorp Certified Terraform Associate 2024 TECHNICAL SKILLS Cloud Platforms: AWS, GCP, Azure Containers: Kubernetes, Docker, containerization Infrastructure as Code: Terraform, Ansible, CloudFormation Databases: MySQL, PostgreSQL, NoSQL Observability: Prometheus, Grafana, ELK Stack Programming: Python, Go, Java Delivery Systems: CI/CD, deployment automation, release validation Data Engineering: ETL pipelines, data flows, large scale processing Reliability Operations: Incident response, high availability, disaster recovery Architecture: Microservices, distributed systems, backend platforms Security Operations: Access controls, security compliance, data protection Performance Engineering: Query tuning, latency reduction, capacity planning SKILLS Site Reliability Engineering Data Infrastructure AWS GCP Azure Kubernetes Docker Terraform Ansible CI/CD Python Go MySQL PostgreSQL NoSQL PROFESSIONAL AFFILIATIONS Member, Association for Computing Machinery, with interest in distributed systems and dependable software. Member, Cloud Native Computing Foundation community, following Kubernetes operations and platform reliability practices. LANGUAGES English (Native) Spanish (Intermediate) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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