IAM Developer with AWS (Identity) – Resume Sample in PDF

Up to 2020, my main responsibility was to develop one of the largest projects in the company. Project goal was to create a platform which handles multi-cloud infrastructure inventory, including cost calculation and optimization and security scan of existing infrastructure and implying security policy. Technologies I was working with: Node v8/v10, Flow, Python 2.7/3.6+, AWS Lambda, AWS Gateway, S3, DynamoDB, Elasticsearch, AWS Fargate, AWS SNS, AWS IAM, GCP IAM, Azure RBAC and AD. In 2020 I started working with a research group focused on integrating various enterprise-grade tools into the multi-cloud client ecosystem. That includes work on investigation tools main features, finding ways to protect created environments and integrating tools with client offering. Technologies I was working with: Node v10, Flow, AWS Lambda, AWS Gateway, S3, DynamoDB, Terraform, AWS Fargate,AWS EC2, Azure Instances, GCP Instances, GCP Kubernetes Clusters, VMWare VSphere (with Terraform), enterprise solutions for Kubernetes

Gene presenting application – As a main backend developer and architect, I was working on an SPA application responsible for presenting gene data in a way helpful for researchers. Application is very mature and developed for over 5 years now. During that time, I was asked for an opinion on how to improve its performance, improve functionalities and adapt to more modern technologies. Main technologies used for this project: Node.js (v4 – v12), MongoDB, Oracle, Postgresql, SQlite, AngularJS (v1.5), React, Elasticsearch, ExpressJS, Typescript Data search platform – I was responsible for designing, developing and supporting a platform dedicated to search gene data and metadata which was collected from many different data sources (flat files, databases, external REST services). Key role was to design a very performant system on indexing and exposing such data for other application owners. Project evolved from an on-premise environment to a cloud environment duplicated in multiple regions to increase access performance. Technologies included: Node.js (v10, v12), AWS Lambda, S3, Oracle, MongoDB, ExpressJS, NestJS, oauth/jwt handlers, Gitlab (CI/CD), Terraform Development on Arvados Platform – Arvados is an open source platform for managing, processing and sharing large scientific and biomedical data. My responsibility was to design multiple complex workflows to calculate and retrieve biomedical data using on-premise clusters, parallel algorithms. Technologies used: Arvados Platform, CWL, Python, Docker, Bash, multiple scientific tools (commercial and non-commercial) MacOS USB Monitoring security tools – my responsibility was to create a macOS daemon tool responsible for monitoring and logging activity related to connecting external USB devices. Software was responsible also for communicating to users any limitations which has been applied (i.e. mounting external devices as read only), as well as allowing company administrators to implement exception policies. Tool was integrated with JAMF policies and macOS notification system, to work in the most efficient way.
Technologies used: Swift