Devops
Dev Ops Engineer
5+ years of experience in Data Engineering, Data Analytics and DevOps. Dual background in mechanical/industrial engineering and management/entrepreneurship/finance. Main interests: Energy, Blockchain, Transportation, Telecommunication, Robotics. Core competencies include: Python, Docker, Kubernetes, ETL, API, Machine Learning, Azure, Amazon Web Services (AWS) Certified.
Experience: 8 years
Yearly salary: $110,000
Hourly rate: $85
Nationality: 🇫🇷 France
Residency: 🇫🇷 France
Experience
Data Engineer
Deepki 2016 - 2019
Deepki's SAAS web application turns its customers' existing data into energy savings on their real estate portfolio. Main activities: Data Integration/ETL/Data pipeline, Data Collection/Data Cleaning, Data Visualization, Web Scraping/Parsing, Automation/Unit Testing, Flask Restful API, Python package deployment. Data stack: Python (pandas, numpy, selenium…), R (dplyr, tidyr…), MongoDB, InfluxDB, AWS (EC2 and S3). Typical Data Volume: timeseries with monthly frequency over a 5-year timeframe for 40.000 energy meters.
Machine Learning Intern
Lattis 2015 - 2015
4-month hands-on project in Machine Learning. Objective: predict the demand of a public bike-share system for the city of San Francisco. Algorithms: supervised (Random Forests) and unsupervised (k-Means, DBSCAN).
Skills
aws
javascript
node
rust
smart-contract
solidity
devops
english
french