DevOps Engineer

Summary

Data Analyst and AI enthusiast with a strong academic foundation in Artificial Intelligence and Data Science and hands-on experience working with real-world, large-scale datasets across global markets. Skilled in data cleaning, validation, analysis, and visualization using Python, SQL, Excel, and Power BI, with a strong focus on data accuracy, structured workflows, and actionable insights. Experienced in working with geographically diverse data environments, supporting complex systems, and maintaining high-quality standards under strict operational guidelines.

Alongside analytics, I bring practical exposure to DevOps principles and tools, including working with CI/CD pipelines, containerization using Docker, version control with Git, and cloud-based environments. I understand the importance of automation, system reliability, and efficient deployment processes in modern data and AI workflows. Known for strong analytical thinking, attention to detail, and the ability to translate complex data into meaningful, decision-supporting insights in fast-paced, collaborative environments.

Expectations

Im looking for a role where I can continue growing professionally while contributing meaningfully through data-driven problem solving. I value an environment that encourages learning, collaboration, and continuous improvement, where I can work with real-world data, build practical solutions, and develop my analytical and technical skills further. Im especially interested in opportunities that allow me to take ownership of my work, learn from experienced teams, and contribute to projects that create measurable impact.

Employment Preferences

Expected Base Salary

**0,000 INR

Expected Total Compensation

**0,000 INR

Academic Degree

Experience

Skills

• Linux
• Machine Learning
• DevOps
• Data Science
• Data Engineer
• Python
• Java
• SQl
• Databases
• AWS
• Clouds