Betrand Badinga
@betrandbadinga
Proactive Data Engineer skilled in cloud infrastructure and ETL processes.
What I'm looking for
I am a proactive Data Engineer with a strong expertise in optimizing cloud infrastructure, ETL processes, and system deployment. My technical proficiency includes Python, SQL, and various cloud-based solutions, all aimed at enhancing reliability, scalability, and overall system optimization. I have a proven track record of troubleshooting, automation, and implementing CI/CD pipelines that significantly improve system performance and streamline operations.
Throughout my career, I have contributed to notable projects such as developing a machine learning-based trading strategy for the S&P 500 and building a decentralized voting system using Ethereum smart contracts. My experience spans across roles at leading companies, where I have maintained and optimized Azure Kubernetes Service platforms, automated CI/CD pipelines, and supported large-scale cloud deployments. I am passionate about leveraging technology to solve complex problems and drive business success.
Experience
Work history, roles, and key accomplishments
Azure Kubernetes Engineer
Microsoft
Sep 2023 - May 2024 (8 months)
Maintained and optimized Azure Kubernetes Service (AKS) platforms to ensure scalability and reliability. Automated CI/CD pipelines with GitOps, Helm charts, and Jenkins for efficient system deployment.
Kubernetes Engineer
Candor Intelligent Solutions LLC
Jun 2020 - Oct 2022 (2 years 4 months)
Deployed and maintained Kubernetes clusters on Azure, AWS, and GCP environments. Automated ETL processes and infrastructure provisioning using Terraform and Ansible.
Education
Degrees, certifications, and relevant coursework
University of Minnesota
FinTech Bootcamp, FinTech
2023 - 2024
Focused on Python, Machine Learning, Blockchain Development, and Financial Applications.
Université des Sciences et Technologies de Lille
Master of Science in Electrical Engineering, Electrical Engineering
2003 - 2004
Completed a comprehensive curriculum in Electrical Engineering, gaining a solid foundation in the principles and applications of electrical systems.
Université des Sciences et Technologies de Lille
Bachelor of Science in Electrical Engineering, Electrical Engineering
2000 - 2003
Studied core concepts of Electrical Engineering, including circuit design, signal processing, and systems analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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