Skills
Cloud Native Architecture
Extensive experience with Cloud Native Architecture, particularly on multiple public clouds. Building Data Pipelines and Data Lakes, applying Feature Engineering on data, and assessing the right Machine Learning algorithm for assigned tasks.
DevOps and CI/CD
Proficient in building CI/CD Pipelines using a variety of tools. Experienced in automating test environments, deployment, release, and support of end-to-end solutions.
Agile Methodologies
Skilled in Agile Methodologies such as Scrum and Kanban for architecting, building, and automating solutions.
Programming Languages
Proficiency in multiple programming languages including Python, JavaScript, TypeScript, Java, Kotlin, PHP, Bash Scripting, VBScript, and Rust.
Web & Mobile Technologies
Experience with various web and mobile technologies such as Ionic, Angular.js, Cordova, React.js/Redux, Django, Flask, Wagtail CMS, Express.js, LoopBack Framework, Node.js, Vue.js, RESTful API, gRPC, JSON, XML, NGINX, Apache, IIS, HTML5, CSS, Webpack, YARN, and NPM.
Database Technologies
Familiarity with various database technologies including MySQL, RethinkDB, IBM DB2, LokiDB, Postgres, MongoDB, Redis, Parquet, Spark, and Hadoop.
DevOps Tools
Proficiency in DevOps tools such as Ansible, Docker, VMware, VirtualBox, KVM, Vagrant, Git, CircleCI, Jenkins, Kubernetes, Terraform, Terragrunt, GCP, Azure, and AWS.
Machine Learning / Deep Learning
Knowledge of ML / DL libraries and tools including Numpy, Pandas, Matplotlib, TensorFlow, Keras, Jupyter Notebook, Scikit, and NLTK.