Alvin Momoh

I am a dedicated DevOps Engineer, Cloud Engineer, and Data Analytics Professional with two years of hands-on experience delivering robust solutions that drive efficiency and innovation. My career has been focused on integrating development and operations to streamline deployment pipelines, managing scalable cloud infrastructures, and extracting actionable insights from complex data sets.

As a DevOps Engineer, I specialize in automating CI/CD pipelines, infrastructure as code (IaC) using tools like Terraform and AWS CloudFormation, and monitoring system performance to ensure reliability and uptime. I have successfully implemented container orchestration with AWS ECS and Docker, improving deployment speed and system scalability.

In my role as a cloud engineer, I manage cloud environments primarily on AWS, designing secure, cost-effective, and scalable architectures. I am experienced in setting up services such as AWS EC2, S3, and Lambda, optimizing cloud resource utilization, and ensuring compliance with best security practices.

As a Data Analyst, I leverage data visualization and analytical tools such as Python (Pandas, NumPy), SQL, and Power BI to translate large volumes of raw data into meaningful business insights. My work includes data cleaning, trend analysis, and reporting that help guide strategic decision-making.

Key achievements include:

• Successfully led the migration of legacy systems to cloud infrastructure, reducing costs by 20% while enhancing system performance.

• Automated deployment processes, reducing release time from days to hours.

• Developed dashboards and reports that improved operational visibility and data-driven decision-making across teams.

I am passionate about continuous learning and staying updated with emerging technologies in cloud computing, DevOps automation, and data analytics to deliver innovative solutions. I am eager to contribute my skills to forward-thinking companies that value efficiency, scalability, and data-driven strategies.