Seetharama U.

Seetharama U. has worked at two companies in the provided chronological order. From 2018 to 2020, they worked at Atos Syntel where they held two roles. Firstly, they worked as a Data Engineer where they extracted data from multiple sources, prepared data models for analysis, managed databases, generated reports, and utilized Python scripting for automation. Additionally, they were responsible for analyzing data and creating visualizations using Power BI for management reporting. Secondly, they worked as a DevOps Engineer focused on automation, containerization, configuration management, and integration monitoring. Seetharama gained experience in building and maintaining Docker container clusters managed by Kubernetes, as well as using Linux and Bash shells.

From September 2021 onwards, Seetharama U. has been working as a DevOps Engineer/Cloud Operations professional at Scienaptic AI. In this role, they are responsible for deploying and implementing products for clients, collaborating with US-based clients on product implementation strategies, troubleshooting issues, and providing quick fixes. Seetharama also focuses on automating tasks to streamline processes.

Seetharama U. completed their primary education at Konkanara Bettu and their high school education at MNDSM Aided High School Mudrady. Seetharama then went on to attend RNS Institute Of Technology from 2014 to 2018, where they earned a Bachelor of Engineering (B.E.) degree in Electronics and Communications Engineering.

In addition to their formal education, Seetharama U. has obtained several certifications. These include "Building Resilience" from LinkedIn in January 2023, "IBM Data Science Specialization," "Python for Data Science and AI," "Cloud Architecture with Google Cloud Specialization," "CutShort Certified Python - Advanced," "CutShort Certified Scala - Basic," "Data Analyst Professional Certificate," "Data Science Professional Certificate," "Data Visualization and Communication with Tableau" from Duke University, "Developing Applications with Google Cloud Platform Specialization," "IBM Data Analyst Specialization," "Architecting with Google Kubernetes Engine: Foundations," "Data Visualization and Dashboards with Excel and Cognos," "Data Visualization with Python," "Cloud Engineering with Google Cloud Specialization," "Elastic Google Cloud Infrastructure: Scaling and Automation," "Reliable Google Cloud Infrastructure: Design and Process," "Essential Google Cloud Infrastructure: Core Services," "Google Cloud Platform Fundamentals: Core Infrastructure," and "AWS Basics" from various institutions and online platforms between 2019 and 2023.