Sriram M S
About Sriram M S
Sriram M S is a Principal Architect at Altimetrik, where he has worked since 2023 in Chennai, India. He has extensive experience in various technical roles, including Senior Architect and Technical Lead, and has authored a blog post on Data Observability, emphasizing its significance in data-driven operations.
Work at Altimetrik
Sriram M S has been serving as a Principal Architect at Altimetrik since 2023. He is based in Chennai, Tamil Nadu, India, and works in a hybrid environment. In this role, he focuses on enhancing data-driven operations and has contributed to the company's knowledge base by authoring a blog post on Data Observability. His insights cover various aspects of data management and its implications for industries, particularly in pharmaceuticals.
Previous Experience
Before joining Altimetrik, Sriram held several significant positions in various organizations. He worked as a Senior Architect at Agilisium Consulting for five months in 2023. Prior to that, he was a Senior Technical Lead at TEKsystems from 2017 to 2019. His career also includes roles as a Product Manager and Data Architect at Mr. Cooper, a Technical Lead at Wipro, and a Senior Technical Lead at HCLTech. His early career included a position as a Programmer Analyst at Infosmart Systems, Inc. and as an Associate Projects at Cognizant.
Education and Expertise
Sriram M S earned a Bachelor of Engineering in Computer Science from Sri Sivasubramaniya Nadar College of Engineering, completing his studies from 2001 to 2005. His educational background provides a strong foundation for his extensive experience in data architecture, technical leadership, and product management across various industries.
Blog Contributions
Sriram has authored a blog post on Data Observability while at Altimetrik. In this post, he discusses the impact of data observability on industries such as pharmaceuticals, emphasizing the importance of data freshness and distribution. He highlights the role of machine learning platforms like Amazon SageMaker and data analysis tools like Amazon QuickSight in deriving insights and making informed decisions. Additionally, he addresses challenges in data management, including data reliability and operational performance.