Nicholas D.
Senior DevOps Engineer at Valvulas Industriales S.A.
- Role
- Senior Devops Engineer at Valvulas Industriales S.A
- Location
- Miami, FL, US
- LinkedIn followers
- 500 followers
About Nicholas D.
I am a seasoned Senior DevOps Engineer with extensive experience at Valvulas Industriales…
Experience
Senior Devops Engineer
Sep 2021 — Present · Miami, FL, US
I\'ve led transformative projects to enhance cloud computing, system monitoring, data warehousing, and compliance. A key achievement was migrating to Azure Databricks, expanding compute capacity by leveraging Azure Migrate and custom PowerShell scripts. This seamless transition minimized downtime and improved our ability to handle complex tasks.In system monitoring, I integrated Grafana, Prometheus, and the ELK Stack, reducing downtime and providing real-time visibility into system health. These dashboards empowered teams to address issues proactively, ensuring consistent operational performance.For data warehousing, I developed an Azure Synapse Analytics solution to process 1TB of operational data daily. This significantly sped up data analysis for supply chain and manufacturing, enabling real-time insights that optimized resource allocation and production scheduling.To ensure GDPR compliance, I overhauled security protocols with Azure Policy and Blueprints, strengthening data security across departments and exceeding regulatory standards.I introduced Agile methodologies, including Scrum and Kanban, within JIRA, streamlining system upgrades and automating processes, resulting in faster and more efficient project completions. I also configured AWS CloudWatch with custom metrics and alarms, improving operational stability by preemptively addressing system issues.To optimize resources, I containerized over 100 applications using Docker, reducing server load and integrating these applications with Jenkins to establish efficient CI/CD pipelines. Managing Kubernetes clusters with Helm and Istio, I improved the deployment and scaling of critical manufacturing and logistics applications.Additionally, I implemented big data processing using Hadoop and Apache Hive, managing up to 5TB of data weekly and establishing optimized data pipelines. This effort significantly advanced our technological capabilities and improved overall operational efficiency.
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