Adama T.

Project: Data flow management for analysis and pipeline creation on GCP Data pipeline management:

- Creation and optimization of ETL/ELT pipelines with Dataflow and Apache Beam.

- Loading, transforming, and validating data in BigQuery for analysis.

- Automating workflows with Cloud Composer (Airflow).

- Developing REST and SOAP Web Services with Spring Boot Cloud infrastructure and optimization:

- Deploying and managing cloud resources with Terraform.

- Optimizing costs and performance of GCP services (BigQuery, Cloud Storage).

- Monitoring and logging via Stackdriver and Cloud Monitoring. Data quality and security:

- Implementing unit tests.

- Analyzing and cleaning data to ensure quality (managing anomalies, duplicates).

- Optimizing databases and queries for cost reduction Collaboration and project management:

- Tracking tasks and issues via JIRA, using Agile/SCRUM methodology.

- Documenting data flows and best practices. Technical environment: Languages: Python, SQL, Java Cloud: GCP (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer) Tools: Terraform, Git, BitBucket, Kubernetes Project Management: JIRA, Agile (SCRUM) methodology

Project: Migration and evolutionary maintenance of a stock market management application

- Requirements analysis

- Participation in Scrum rituals

- Writing User Stories

- Design and modeling

- Backend development with Java

- TDD with JUnit before feature development

- Development of REST and SOAP Web Services

- Integration testing and deployment in CI/CD

- Frontend development with (AngularJS, Angular 17)

- Consumption and adaptation of internal HMIs developed with Angular/Bootstrap/Angular Material, RxJs

- Consumption of SOAP and REST web services with HttpClient

- Migration from AngularJS to Angular 17 Using specific and adapted components

- Version management with GIT

- Unit tests performed with JUnit for the Backend

- Frontend tests with Jasmine

- Containerization with Docker

- Container orchestration with Kubernetes

- Continuous integration with Jenkins

- Evolutionary and corrective maintenance

- Identification and management of issues encountered in JIRA

- Measurement and optimization of code quality with SonarQube

- Management and analysis of vulnerability dependencies with Dependency Track

- Automated security tests for Checkmarx Technical environment: Languages: Java, JavaScript, TypeScript Framework: AngularJS, Angular 17, Bootstrap, Angular Material, RxJs Web Service: REST, SOAP Tests: JUnit, Jasmine Tools: GIT, Jenkins, Docker, Kubernetes, Jasmine, Visual Studio Code System: Windows Project Management: Agile (Scrum)

Development (of a first part V1) of a chatbot to help users choose a travel offer (with Microsoft Bot Framework and Microsoft LUIS cognitive service). V1 must be able to identify the following five elements in the user's request:

- Departure city

- Destination city

- Desired outbound flight date

- Desired return flight date

- Maximum budget for the total price of tickets If any element is missing, the chatbot must be able to ask the user relevant questions (in English) to fully understand their request. When the chatbot believes it has understood all elements of the user's request, it must be able to rephrase the user's request and ask them to confirm its understanding. Skills acquired:

- Integrating model output into a finished software product

- Integrating an AI processing chain into a software tool via Git

- Monitoring model performance in production