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Modernizing Analytics with CI/CD and Azure DevOps: Transforming Technology and Manufacturing

Updated on: 12 March,2025 02:29 PM IST  |  Mumbai
Buzz | sumit.zarchobe@mid-day.com

Parmar has emerged as a leader in cloud transformations and CI/CD pipeline strategies.

Modernizing Analytics with CI/CD and Azure DevOps: Transforming Technology and Manufacturing

Tarun Parmar

The digital revolution is reshaping industries, and analytics is no exception. To unlock the full potential of their data, companies are increasingly leveraging methodologies like CI/CD (Continuous Integration/Continuous Deployment) and platforms such as Azure DevOps. An exemplar of this transformation is Tarun Parmar, a principal software engineer who combines technical innovation with practical impact, driving meaningful change in the technology and manufacturing sectors.


With a career marked by significant achievements, Parmar has emerged as a leader in cloud transformations and CI/CD pipeline strategies. As part of the Technology & Manufacturing Group, his focus on scalable and innovative solutions has yielded groundbreaking advancements. For instance, his role in the unit-level traceability (ULT) enablement project significantly enhanced quality control and traceability, revolutionizing manufacturing processes. Additionally, his work on cloud integration-such as designing product genealogy data models-has enabled advanced traceability and improved operational transparency.

Parmar’s extensive expertise in automation is evident through his leadership in designing and implementing comprehensive test automation strategies. By enabling efficient, reliable data pipelines, he streamlined development cycles and improved system resilience. His agile collaboration across diverse teams, encompassing sprint planning and retrospectives, further highlights his ability to foster cohesive teamwork in complex environments.

The results of his efforts are striking. His implementation of ULT technology decreased inventory scrap costs by over $50 million, demonstrating the transformative power of sophisticated traceability systems. Additionally, by applying CI/CD practices and Azure DevOps, development cycles were accelerated, achieving the completion of over 10 major Jira stories in just two months. These innovations not only reduced costs but also enhanced customer satisfaction by empowering stakeholders with actionable insights through robust data systems.

Parmar has also significantly improved team productivity. By introducing automated testing frameworks, pull request reviews, and branch merge approvals, he streamlined workflows, reduced review cycle times, and enabled faster, higher-quality deployments.

Modernizing analytics comes with its share of challenges, and Parmar’s ability to navigate them has been instrumental to his success. The migration of complex business logic to scalable cloud solutions involved overcoming significant technical debt and legacy system limitations. Tight deadlines in the design and implementation of test automation frameworks further tested his capacity to deliver under pressure. By bringing together diverse stakeholders, he ensured seamless collaboration and successful technical delivery.

Through these efforts, Parmar has demonstrated the essential role of CI/CD pipelines in accelerating development while maintaining high-quality releases. His insights into the analytics modernization landscape underscore the growing necessity of cloud-first strategies for scalability and resilience.

According to Parmar, the future of manufacturing lies in leveraging real-time data for predictive quality control and advanced root cause analysis. Automated testing and deployment will continue to be key enablers of innovation, ensuring data-driven manufacturing processes are both efficient and adaptable.

As organizations navigate an increasingly data-centric world, professionals like Tarun Parmar exemplify how expertise and forward-thinking strategies can transform challenges into opportunities. His contributions to CI/CD and Azure DevOps serve as a blueprint for how innovation can produce measurable outcomes and drive industry-wide change.

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