Vítor Brandão

Devops Consultant Lead Platform Engineer, Bdec (Hmrc) @Equal Experts

Bristol, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2023 — Present

Devops Consultant Lead Platform Engineer, Bdec (Hmrc) @Equal Experts

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London, GB

BDEC (Bulk Data Exploitation Capability) serves as a secure data exploitation platform, operating within AWS, authorised to handle sensitive HMRC data. Its core purpose is to enable the Customer Compliance team to process and analyse vast volumes of unstructured data efficiently. This is essential for identifying and responding to compliance risks in diverse datasets, some of which are massive and complex. As a DevOps consultant on the project, my role involves ensuring the continuous maintenance, development, and support of BDEC. This includes designing and managing robust build, deployment, and configuration management systems for multi-tier applications and taking a lead on automation. My daily toolkit comprises Terraform, Packer, Python, Golang, and Bash. The focus here is on automation and cloud provisioning to streamline operations.

EDUCATION

2007 — 2008

Faculdade de Engenharia da Universidade do Porto

Master's degree, Security on GNU/Linux systems

2001 — 2006

Faculdade de Engenharia da Universidade do Porto

Licentiate degree, Telecommunications Engineering

SKILLS

Linux System AdministrationLampSystem AdministrationPerlSqlLinuxVimGentoo LinuxSoftware EngineeringIptablesHtmlSoftware DevelopmentSymfonyPythonLatexXmlUbuntuOrmWeb DevelopmentC++Shell ScriptingJavascriptTurbogearsSqlalchemyGitAngularjsJsonCssNetwork AdministrationDebianSubversionMysqlVmware EsxApacheOpen SourceOperating SystemsProsodyZend FrameworkSnmpXmpp

ABOUT VÍTOR BRANDÃO

PROFILEI’m a software and systems engineer with 15+ years of experience, specialised in the development and administration of Web applications and experienced with Agile environments (within both Kanban and Scrum teams).# TECHNICAL SKILLS## Enterprise ArchitectureEnterprise Architecture | TOGAF, ArchiMate 3.1, IT Infrastructure Management, Archi, Erwin.## Operations / DevOpsCloud: AWS (Amazon Web Services). Long-time Linux user and developer: Gentoo Linux(maintainer), Ubuntu, OpenSUSE, Debian, CentOS. Containerisation and Server virtualisation: Docker,Kubernetes, AWS ECS, Vagrant, VMware ESXi, VirtualBox. Infrastructure as Code: Terraform, Packer,SaltStack, Ansible. Data Pipelines: Kafka. Network and Security: Iproute, Iptables, Fluentbit/Fluentd, Snort,OSSEC, BackTrack, Nmap, Hping, Hydra, Metasploit. Web Servers & Reverse Proxies: Nginx, Apache2,HAProxy. Dependency managers and Packaging tools : Poetry, Setuptools, PyPI/Pip, Composer, Portage,Bundler, APT and CPack/CMake. Source control: Git, Subversion, Github, GitLab.## Back-End Development+ C#/.NET+ Python (Flask, TurboGears, Tornado, Rich, Fire).+ PHP Frameworks: Symfony2, ZendFramework2 (ZF2) and PPI.+ Database modelling and SQL developer: MySQL, PostgreSQL, SQLite.+ ORM (Object-Relational Mapping) and DBA (Database Abstraction Layer) tools: Doctrine2, MDB2, SQLAlchemy and Peewee.+ Unit, integration and functional testing with PHPUnit, Behat, Fitnesse and Selenium.+ Continuous integration using Travis-CI and Jenkins.+ Networking libraries: Twisted, Eventlet, Tornado, GLibC.+ Documentation: Sphinx, Epydoc, ApiGen, phpDocumentor, Doxygen, reST (reStructuredText), Markdown and LaTex.## Front-End Development+ Templating engines: Smarty, Twig, PHP, Genshi, Handlebars.+ JavaScript: Angular2, jQuery, jQueryUI, DataTables. Twitter Bootstrap, Strophe.js (XMPP), EventSource, Appear, Flot.+ Geolocation display using Google Maps JavaScript API v3.+ CSS3 transitions and responsive designs with media queries. CSS minification: Google Closure Compiler, YUI Compressor and Compass (SASS). Methodologies: BEM (Block, Element, Modifier).## TestingUnit, integration and functional testing with Pytest, Nose, Unittest, RSpec, InSpec, Test Kitchen,Terratest, PHPUnit, Behat and Selenium. Load testing with JMeter and Gatling. Performance testing withBlackfire. Continuous integration using Jenkins, AWS CodePipeline, CircleCI and Travis-CI.## Machine LearningSupervised Learning with Neural Networks using Keras and TensorFlow (Python).

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