Allan

Supporting the customers (product teams) in the adoption of the tools and provide consulting services. Architecting new infrastructure for the cloud platform

• Developing DevOps infrastructure using CI/CD tools
• Set up source control, CI/CD, code quality tools, security tools, artifact management solutions, and containerization
• Infrastructure as Code – Automation

Technologies:  DevOps, CI/CD, Azure DevOps, GCP, Terraform, GitHub, AWS, IaC, Containers, Flask, Python

Managed automation, integration, and orchestration strategy for existing and new cloud-based product development tools. Supported the customers (product teams) in the adoption of the tools and provide consulting services

• DevOps CI/CD infrastructure using Ansible, Terraform, Python
• Set up source control, CI/CD, code quality tools, security tools, artifact management solutions, and containerization
• IaC – Infrastructure as Code – Automation

Technologies:  Multicloud, Terraform, Ansible, Databases, Python, Kubernetes, Vault, Splunk, New Relic, Containers, IaC, CI/CD, Flask, Node, AWS,

Managed a multi-cloud environment.  Set up OCI (Oracle), AWS (EC2, RDS, Redshift), and Azure (Database, VMs).

•  IaC – Infrastructure as Code – Automation
• DevOps CI/CD infrastructure using Ansible, Terraform, Python, K8s

Technologies:  SQL Server, MySQL, Python, GitHub, Terraform, Ansible, MultiCloud, Kubernetes, Docker, Containers, Oracle, EC2, RDS, RedShift, K8s, IaC

Logical and physical mappings of BugHub (DevTest, DevTrack, DevBug). Used ETL to identify requirements and opportunities to improve performance, productivity, and functionality in QA tests (Quality Assurance)

• Automation reports using BI technologies such as Power BI (DAX/MDX)
• Supported to developers in Python programming for QA
• Built strong relationships and worked closely with stakeholders to ensure business needs are addressed

Technologies:  SQL Server, MySQL, PostgreSQL, Agile, Sprint meetings, Jira, JaaS, Airflow, Confluence, PowerBI, QA Testing, Python.

Data preparation on AWS (RDS, Redshift) to create and support the pipelines in staging, cleansing, and conforming. Data design (physical and logical mapping), particularly to map multiple sources to a single model and data quality

• DevOps CI/CD infrastructure using Ansible, Terraform
• Set up OCI (Oracle), AWS (EC2, RDS, Redshift), and Azure (Database, VMs)

Technologies:  AWS (RDS, Redshift, EC2), DevOps, Ansible, Terraform, Oracle, Azure Virtual Machines, SQL Server, MySQL, Python, Tableau, Power BI, GitHub.

• Data and Financial Analyst at Itaú Unibanco (2011-2016)
• System Analyst at Iguatemi Shopping Centers (2011)
• System Analyst at Rockwell Automation (2010-2011)
• System and Planning Analyst at GM – General Motors (2008-2009)