Gopinath Sabapathy

Devops/dataops Consultant at Daemon

Gopinath Sabapathy is a seasoned DevOps/DataOps Consultant with extensive experience in building CI/CD and data pipelines at Daemon since February 2016. This role involves extracting, loading, and transforming data from datalakes to data warehouses using Snowflake. Previous positions include managing a multi-tenant PaaS platform on AWS EKS, training teams on Pivotal Cloud Foundry to streamline development processes, and migrating on-premise applications to the AWS cloud using Terraform and Chef. Prior to Daemon, Gopinath served as a DevOps Engineer at Vision Direct, managed cloud configurations at Thomson Reuters as a Lead Engineer, worked as a Senior Systems Engineer at HP, and gained foundational experience at Sify Limited and HCL Infosystems. Academic qualifications include an MBA in Information Technology from Sikkim Manipal Institute of Technology, a Bachelor's degree in Computer Application from Madurai Kamarajar University, and a Diploma in Electronic & Communication Engineering from Bhakthavatsalem Polytechnic.

Location

London, United Kingdom

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Daemon

Founded in 2007, Daemon is a technology consultancy with a mission to make the world a better place by creating movements that power digital transformation. Taking a client-centric approach to digital transformation, we offer solutions that help people across an organisation embrace technology, such as data, AI/ML, cloud and engineering. Our clients include Sainsbury's, Superdry and WH Smiths, who have seen proven results through Daemon energising their digital transformation journey. We partner with the likes of AWS, Atlassian and HashiCorp to ensure we offer the best solutions to our clients. We look at your needs, using Design Thinking, through a human-centric lens of Desirability (what users want), Feasibility (what is technologically possible), and Viability (what does the business want, what are its current capabilities) to create real value. Here's what we do: - Cloud and DevOps - Performance Engineering - Digital Engineering - Data, Machine Learning and Artificial Intelligence. Find out more about how we do it here: https://www.dae.mn/how-we-work


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Employees

51-200

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