Amaury is a Data & DevOps Engineer who enjoys a Python-centric codebase on projects and works within the limits of Python best practices for data processing, real-time data monitoring (IoT), and dashboards using modern tools. He also has experience implementing and maintaining servers and cloud infrastructure such as AWS in several projects as well as 5+ years of experience working in leadership and management positions. Amaury designs solutions to maintain, improve, and build data solutions to support business operations and analytics, translating requirements into data and analytics solutions, optimizing data pipeline performance, and troubleshooting issues. He has also worked with Blockchain nodes/serves implementation, wallet development, NFT, and Tokenization.
Proficient in Python, adept at leveraging its capabilities to enhance infrastructure, develop applications, optimize performance, and uphold stringent security measures such as data encryption, security groups, and environmental scanning.
Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.
Working with databases, acquiring data, ETL/ELT, Big Data pipelines, and cloud services, and implementing and training teams to use SVN version control system.
Acted as a member of the Board of Product and Innovation in the Company, working on electronic and mechanical development of trackers used in Smartmine Systems.
Worked on the optimization and reviews of products that were in production, as well as elaboration of new solutions, monitoring projects in progress.
Provided maintenance and safety control for telemetry systems for off-road trucks. Coordinated the production of product pre-series.
Designed and deployed the Wissen Steel Making Industry Optimization tool, a cloud/data science solution that helps companies manage industrial waste and reduce emissions. Built the tool with Python and Django for data handling, API integrations, and WhatsApp integration.
Developed Wissen COVID-19 Pandemic AI ICU, a cloud-based solution to help doctors monitor patients under treatment. Implemented Machine Learning and data handling techniques into the solution using Python, C, Django, Embedded Linux, and Linux.
Participated in delivering solutions for an organic photovoltaic R&D data collection station using Embedded Linux, Linux, IoT tools, C, Python, Django, Plotly, and Shell Script. Implemented data engineering and data science solutions.
