Databases:
AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cubes DBs (EPM/BI platform)
Architecture: Microservices
Languages: Python, JavaScript, CSS, HTML
Development environment:
JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText
Libraries: Pandas, Scrapy
Cloud: Amazon Web Services, Azure Databricks
Data Lake AWS/Databricks (EC2 (Linux), IAM, Lambda, S3, DynamoDB , RedShift; Kibana, Azure Databricks, CloudFormation)
Web crawling/Scraping: Python Scrapy
Data streaming: Kafka
Data visualization / ETL: Python, Kibana, Tableau, Alteryx, Power BI & DAX, Excel Power Query (et lang.M)
Continuous integration workflows (CI/CD): Docker/Google cloud/Kubernetes; Amazon ECS)
Containerized applications: Docker (Docker container, Docker-compose)
Virtualization technologies: VirtualBox, Vmware
Agile outils : Contrôle de version (Git/GitLab), tickets (JIRA), Wiki (Confluence), Jetbrains
OS: Linux, Windows