Deepak Shivamurthy

Experience

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  Tech Mahindra

  Feb 2005 - Dec 2010

  Associate Business Analyst
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  Emids technologies

  Mar 2011 - Jul 2012

  Associate Technical Lead
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  Teamware Solutions

  Aug 2012 - Jun 2013

  Technical Lead
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  Happiest Minds Technologies

  Jul 2013 - Nov 2014

  Senior Technical Lead
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  Jio

  Dec 2014 - Mar 2019

  DGM

  • Worked on DataGrinch, the mobile analytics platform to support SQL on unstructured data in the market. The platform supports mobile and server integrations to log data and is used for data mining and reporting. Typical uses include app analytics, performance and user monitoring. TECHNICAL LEADERSHIP: Architecture, Design and Data Modelling for DataGrinch. Built minimum viable product in a quarter to test market hypothesis. Iterated multiple times to fine tune offering. Worked as server side developer providing rest end points to develop fully functional web application, iOS-Andoroid-Web SDKs, Server Side Integration modules in Python, PHP and Node.js and also managed infrastructure. IMPACT:1. A completely horizontally scalable platform.2. Ground up SOA architecture giving us the ability to spin off various product offshoots. 3. Each node is capable of handling over 4500 requests.4. Successfully productionized with a lean team peaked at 4 members.• Worked on Jio Events Platform capable of ingesting, storing and processing Jio Events at petabyte scale. The platform is built from scratch using open source frameworks such as ElasticSearch, HDFS, Kafka, Spark-Streaming, Drill & SparkSQL.Both platform/product processes a Billion events from millions of users per month. Show less

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  Rakuten India

  Mar 2019 - now

  Senior Engineering Manager - DevOps at Rakuten

  • Spearheaded the automation and deployment of a cloud-based data platform leveraging GCP services and Kubernetes (GKE) for container orchestration.• Designed and implemented CI/CD pipelines using Jenkins, Github Actions, ArgoCD and Terraform, ensuring seamless and efficient deployment of data services, including data pipelines, data lakes, and analytics workloads.• Collaborated with Data Engineers to integrate cloud-native technologies for real-time data processing and optimized the performance of big data workloads.• Led the migration of on-premise infrastructure to GCP, resulting in more than 30% reduction in infrastructure costs and increased system availability.• Ensured high availability, scalability, and security of the platform, implementing best practices for IAM, VPC design, and disaster recovery planning. Show less