Dickson Dikizeyiko

* Supported cloud operators in LVMH standards through: * Developing Terraform modules. * Conducting workshops. * Managing IAM access. * Automated user management and project creation in GitLab and Okta via ServiceNow. * Standardized 900+ GCP projects and decommissioned unused resources for FinOps compliance. * Monitored GKE applications with Dynatrace and automated dashboards with Terraform. * Troubleshot GKE issues (pod failures, certificate problems, network policy updates). * Participate to established global logging and monitoring strategy on Azure and GCP. * Reduced cloud security issues from 20 to 0 using Wiz.

* Created dashboards in Data Studio to analyze MongoDB billing, utilizing BigQuery for data storage and Cloud Run to fetch and format data from the MongoDB API. * Built and maintained APIs for managing group members in Cloud Identity. * Designed a Disaster Recovery architecture for L'Oréal's data section in GCP. * Presented a retrospective on MongoDB's pros and cons for L'Oréal. * Developed a global service for granting permissions in GCP using Apigee with a zero-trust approach. * Designed a reporting system to analyze organizational policies, storing data in BigQuery and generating reports via Data Studio. * Implemented an alerting system for monitoring forbidden IAM role grants. * Automated service account key rotation across the organization. * Created an application for granting temporary access to GCP groups or GCS buckets, exposed as an API via Apigee with a zero-trust design. * Built all applications using Terraform, Python Cloud Functions/Cloud Run, with Cloud Build as the CI/CD pipeline and GitHub triggers. * Migrated a Python job from Azure VM to GCP Cloud Run, including: * Updating the Docker image and script clarity. * Building the GCP stack with Terraform and designing the HLD. * Conducting knowledge transfer on the legacy job. * Migrated an API from Azure VM to GCP Cloud Run using FastAPI, involving: * Code cleanup, testing, and CI/CD deployment on Apigee. * Transitioning from Flask to FastAPI and building the stack with Terraform. * Providing knowledge transfer on FastAPI and its async capabilities.

* Architecture and build a new prometheus stack on AWS with HA in a single region. The stack was build with AWS Fargate, EFS, Docker, S3, DynamoDB, terraform and gitlab CI. This stack was used to monitor the whole fleet of application hosted by our team on AWS. In this stack we used blackbox, snowflake exporter, cloudwatch exporter, pushgateway and alert manager. * Management of a shared CI/CD pipeline used by other devops teams to facilitate application deployment for other teams.

* Automated GCP project bootstrapping based on workload type, including IAM permissions, service accounts, APIs, and Terraform state storage. Implemented a similar process for Azure landing zones (subscriptions, resource groups, etc.). * Orchestrated Azure VMs using Ansible with a zero-trust approach, integrating with GitLab CI/CD for automated deployment and network flow management. * Enforced tagging policies within Terraform modules for billing insights. * Developed a serverless Azure application for transferring VMs between subscriptions using Azure Functions and Storage Accounts. * Created a data orchestration tool for fetching and processing data from various lakes and warehouses. * Educated teams on Terraform best practices and documented Infrastructure as Code processes. * Assisted in migrating 60 websites across 20 VMs from an old hosting platform to GCP, establishing secure network architecture, VPNs, VPC peering, and custom NAT proxies.

• Architecture and development of a cloud solution with aws lambda, dynamodb and s3 to create CSV files periodically from data stored in a SaaS product. Then migration of the application to GCP using cloud function, GCS and BigQuery. The goal is not only to create these files but also to process the data, enrich them and store them for the long term in a data warehouse for further analytics. • Creation of a web application with VueJS, API Gateway, DynamoDB, SES, Gitlab and Terraform. The application enable users to create, view and save a bucket. After the registration the user receive an email automatically after registering the basket • Setting up an automation pipeline on Gitlab CI using ansible to deactivate an agent present on AWS instances • Create several terraform modules on aws which can be reusable in the organization • Redact recommendations to automate the accounts creation processes on AWS • Design a replica of an existing aws architecture for gcp

• Design and build a cloud solution for the application by using cloud run (at first it was kubernetes with gke but I switch to cloud run), cloud sql, gcr and gcs via Terraform • Design and build the CI/CD pipeline in gitlab by following a DevSecOps steps: unit testing, security checks on the source code (leaks of passwords, credit cards...), coverage test artifact, container's build, check the container security with the open-source tool Clair and generate a report as an artifact, and push to the GCR. •Create two microservice for the backend application with graphql API, Django and a Test Driven Development approach • Design and create the database schema • Create a dev, test and prod environment for both microservices • Generate mock data to fill the database for dev and test environment • Create a docker-compose file to enable the developers to run an entire microservice on their computer

• Builded a REST API in NodeJS for the company's partner • Deployed new features the test and prod environment with AWS. • Scrapping, cleaning and enrichment of data via Python before saving them in a PostgreSQL database • Developed a new backend with Golang by using the clean architecture, TDD and pair-programming. • Add new backend's features with NodeJS • Participated to the containerization of our application with Docker. • Usage of Gitlab CI and a CI/CD pipeline to deploy to AWS ECS. • Added new feature to the homepage with AngularJS • Designed and created new tables on PostgreSQL

-Build a new back office. -Cleaned and refactored the code base. -Database migration.

Front-end developper in the company Aupasdecourses.