Roanoke, Texas, United States
I am a DevOps / Site Reliability Engineer with 9+ years of experience building, automating, and operating cloud-based platforms in regulated enterprise environments. My work sits at the intersection of cloud infrastructure, platform reliability, and data governance, where stability, security, and automation are critical. I have hands-on experience supporting data quality, metadata, and governance platforms such as Ataccama ONE, Alation, and TAMR, focusing on secure onboarding, platform integrations, automation, monitoring, and post-deployment validation. Much of my work involves ensuring these platforms run reliably in production, meet compliance requirements, and integrate cleanly with services across AWS and Azure. On the DevOps and SRE side, I work extensively with Terraform, CI/CD pipelines, Linux, Python automation, Docker, Kubernetes, and cloud monitoring tools, helping teams reduce manual effort, improve deployment consistency, and maintain platform health across DEV, UAT, and PROD environments. I have also supported AI/ML-driven analytics and decisioning platforms from an operations and governance perspective, focusing on data quality, metadata management, auditability, and production reliability, rather than model development. I enjoy roles where I can bridge engineering and governance, translating complex platform, security, and compliance requirements into automated, scalable, and reliable solutions. I work closely with application, data, and security teams to ensure platforms are secure, observable, and production-ready.
• Automated cloud compliance checks using Python, Terraform, Jenkins, and CloudWatch rules to identify misconfigurations, exposed IAM permissions, and deviations from security baselines. • Designed and configured Ataccama monitoring projects, importing and implementing data quality rules with threshold values as defined by the Data Governance team. • Executed month-end deployments in Ataccama based on governance-defined rules, ensuring accurate, compliant, and automated data quality checks. • Secured CI/CD pipelines by introducing authorization checks, secrets scanning, artifact validation, and automated infrastructure review steps. • Led secure onboarding of Ataccama DQ workloads on AWS, ensuring IAM, logging, encryption, and storage policies aligned with enterprise InfoSec requirements. • Worked with Governance teams to implement secure data flows between Ataccama → Snowflake → S3, integrating least-privilege roles, encryption, and access monitoring. • Built real-time monitoring pipelines using CloudWatch, Dynatrace, and PagerDuty, improving incident detection and reducing response time (MTTR).
• Engineered AWS infrastructure for Western Union using ECS, EC2, RDS, IAM, KMS, and S3, ensuring scalable, secure, and high-availability deployments. • Designed and deployed secure AWS and Azure environments for TAMR Master Data Management workloads, ensuring IAM controls, encryption, network segmentation, and secure access policies. • Built CI/CD automation using GitLab CI, Cloud Bees, and Groovy-based Jenkins pipelines, embedding DevSecOps controls such as infrastructure validation, secrets scanning, and role permission checks. • Implemented cloud monitoring using CloudWatch, New Relic, and Dynatrace to track performance, detect anomalies, and identify potential security risks across TAMR clusters and supporting systems. • Automated provisioning and configuration using Terraform, Ansible, and Python, ensuring consistent and compliant deployments of cloud infrastructure and MDM components. • Collaborated with Architecture and InfoSec teams to review security requirements for data pipelines, MDM model deployments, and production rollouts. • Developed Groovy scripts and custom Jules shared libraries to standardize CI/CD workflows across multiple teams, reducing code duplication and improving pipeline maintainability by 40%. • Developed and automated CI/CD pipelines using Cloud Bees, Spinnaker, and GitLab CI, accelerating delivery cycles and reducing deployment errors. • Implemented real-time monitoring dashboards in Dynatrace to analyze CPU, memory, and disk metrics, reducing response time for system issues.
Devops,CI-CD pipeline,Jenkins,Git,Udeploy,Open shift,AWS,Groovy scripting,Shell scripting,Cloud migrations,Azure devops,Infrastructure
Devops,AWS,Pipelines,Infrastructure,Shell scripting,Oracle DB,Linux