Vitthal Mirji
Staff Software Engineer - Data Platforms @Walmart Global Tech India
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WORK HISTORY
Staff Software Engineer - Data Platforms @Walmart Global Tech India
Bengaluru, IN
Architecture Design, Implemented end-to-end solutions to enhance productivity and streamline processes.Spearheaded the development of reusable utilities for low-level pipeline designs, improving scalability and consistency across teams.1. Created scalable productivity-enhancing SDKs, APIs and frameworks for Software & Data Engineering, Data warehousing & Data pipelines process & implementations.2. Designed an innovative Quality Engineering (QE) Framework, automating pipeline testing and reducing defects.3. Standardized data pipeline development with an archetype code-generation framework, boosting team efficiency across the board.4. Built comprehensive logging strategies with custom configurations, increasing visibility and diagnostics for critical workflows.5. Additionally, implemented continuous delivery pipelines and real-time monitoring tools, achieving a 65% reduction in delivery time and an 82% decrease in errors.
EDUCATION
Visvesvaraya Technological University
Bachelor of Engineering (BE), Computer Science
Gogte Institute of Technology
Bachelor of Engineering (BE), Computer Science
SKILLS
ABOUT VITTHAL MIRJI
Engineering the future of Intelligent systems | Connections between data, AI, and peopleIn the world of technology, the smallest design choices often have the most significant impact.As a Staff Data Engineer and Software Architect with over 12 years of experience, I specialize in crafting low-level designs that serve as the foundation for scalable, efficient, and impactful systems. From data pipelines to machine learning workflows, my approach ensures that every detail is optimized to unlock maximum performance and business value.I specialize in bridging the gaps between data engineers, AI practitioners, and software developers—creating scalable solutions that don’t just solve today’s challenges but set the stage for future innovation. My work goes beyond technical implementation; it’s about ensuring continuity in the face of outages, automating complex workflows, and fostering collaboration among diverse, high-performing teams.At Walmart, I’ve redefined engineering excellence. My archetype framework has not only standardized pipeline code generation but also slashed redundancy and amplified team productivity. I’ve created SDKs, APIs & Libraries for Data pipelines, automated QE frameworks, robust data monitoring systems, and logging strategies that bring clarity to complexity—helping teams identify, resolve, and prevent issues before they arise. These innovations have cut delivery timelines by 65%, reduced errors by 82%, and fueled 75% growth in e-commerce data monetization.Why granular-level design? Because in software, data, and machine learning architecture, the devil truly is in the details. By focusing on foundational principles, I’ve built solutions that are not only scalable and maintainable but also resilient in the face of change. Whether I’m designing a data warehouse that supports Fortune 500 clients or developing metadata-driven pipeline automation tools, I aim to bridge the gap between visionary ideas and real-world implementation.Beyond the codebase, I’m a storyteller who translates complex technical challenges into strategic business opportunities. My open-source contributions, including work with Apache Spark and Databricks, reflect my passion for driving innovation and sharing knowledge with the broader tech community.If you’re seeking a partner to architect solutions that merge precision with impact, let’s connect. Together, we can build the frameworks and systems that empower businesses to stay ahead in a data-driven world.
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