Paul .

Technologically agnostic, business value oriented, professional software engineer since 2016, also data engineer since 2020. I love to deliver clean, teamwork-friendly, version controlled, well documented code. Technical skills Data Sciences & Data Engineering • theoretical background in statistics and econometrics • data analysis and mining: Python (pandas numpy) SQL (BigQuery) R SAS Spark (Core SQL MLlib Scala) Hadoop (Hive HQL Pig) • machine learning algorithms: SciKit-Learn Spark MLlib • data visualization: D3.js Vega-Lite GGPlot MatPlotLib Seaborn • “point and click” ETL & ELT software: Metabase PowerBI Informatica PowerCenter QlikSense Tableau ODI BO Back-End Web Development & DevOps • UNIX/Linux shell scripting: BASH KSH • Python: FastAPI Flask Django urllib3 subprocess multiprocessing asyncio aiohttp argparser configparser • Go / Golang: gin echo fiber • Version control: Git SVN • Container Manager: Docker Compose • DB: Oracle PostgreSQL NoSQL (MongoDB Redis HBase Neo4j) • Webservices: SOAP REST • Orchestration : Aiflow Kubernetes Ansible • IDE: Eclipse IntelliJ PyCharm Spyder VSCode/VSCodium Front-End Web Development • Responsive design: JavaScript HTML5 CSS3 Bootstrap jQuery • Frameworks: Vue.js Angular • Builders: node npm webpack grunt hugo • IDE: VSCode/VSCodium WebStorm SublimeText Other skills • Technical writing: specs, tutorials in Markdown, Katex, Mathjax • Best practices: testing, security, scalability, maintenance • Process management: Scrum / Agile / Kanban / DevOps • Strong awareness of business stakes: cost, deadlines, people