Mahesh Kanuri

Adept DevOps Engineer with a solid foundation in cloud technologies, automation, and data management, including experience with AWS, Azure, and tools like Docker, Kubernetes, and Terraform. At Modak Analytics, I developed cost-effective solutions and optimized systems, with a growing focus on data-driven approaches using SQL, Spark, and other analytics tools. Motivated to transition into Data Science, I seek to further enhance my skills in machine learning, data analytics, and big data technologies through a master's program, with a goal to contribute to cutting-edge research and practical applications in the field.

• Infrastructure Cost Optimization: Reduced monthly infrastructure costs by 35% through strategic actions, including renewing Service Principal Names (SPNs) and automating resource allocation. Developed custom Python scripts integrated into GitHub pipelines, enabling single-click retagging of over 3,500 Azure resources across multiple environments. This not only enhanced operational efficiency but also showcased my proficiency in development and automation.
• Cloud Subscription Migration: Successfully migrated 600 datasets from Cloud 1.0 to Cloud 3.0 subscriptions with minimal downtime and ensured data integrity. Collaborated with cross-functional teams to address data discrepancies, showcasing adaptability in high-pressure situations.

• Mentored junior colleagues and conducted Linux training sessions for five batches of new hires, equipping them with essential technical skills and fostering team development.
• Managed cross-functional teams, demonstrating leadership and effective communication in collaborative projects.
• Achieved 1st place among 300 peers on the Edyst Coding platform by efficiently solving complex programming challenges, showcasing analytical and problem-solving abilities.
• Created Google Drive repositories with essential study resources during undergraduate studies, fostering collaboration and enhancing peer learning.

• AWS, Azure and GCP Platform Architect
• Databricks Accredited Lakehouse Fundamentals
• Databricks Certified Data Engineer Associate
• Databricks Accredited Platform Administrator Certificate
• Linux, Spark and Scala, Java, Streamsets and Kafka from Modak Analytics
• Build a Face Recognition Application Using Python - GUVI Geek Networks
• HTML, CSS in Coursera offered by University of MICHIGAN

• Online Examination System
  Technologies: HTML, CSS, PHP, MySQL
  Designed and developed a comprehensive computer-based testing platform, handling both front-end and back-end development. Features include user authentication, question randomization, automated scoring, and a user-friendly interface. Focused on database management, web development, and server integration while addressing challenges in data security and scalability.
• Sample College Website
  Technologies: HTML, CSS
  Led the front-end development of a visually appealing and intuitive website for a college. Prioritized user interface design to ensure both aesthetics and functionality, strengthening my understanding of creating seamless user experiences.

• Winner of the Company Cricket Premier League.
• Semi-finalist in the Company Badminton Premier League.
• Finalists for the final round of Quizzomaina-2018 in my college.