Akshay Yewle
Data Quality Analyst @Rotork
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WORK HISTORY
Data Quality Analyst @Rotork
EDUCATION
Central Board of Secondary Education
Under Graduate Course, Science
Cardiff University / Prifysgol Caerdydd
Data Science & Analytics, Data Processing
Savitribai Phule Pune University
Bachelor of Engineering (B.E.), Mechanical Engineering
SKILLS
ABOUT AKSHAY YEWLE
I am a data analytics professional with expertise in data governance, ERP migration, and enterprise reporting within Microsoft’s ecosystem (Fabric, Purview, Azure, D365, Power BI). In my current role, I design and manage data pipelines, quality frameworks, and reporting solutions that support global business transformation and lay the foundation for AI readiness.With a strong foundation in SQL, Python, Power BI, and data modeling, I specialize in transforming complex, multi‑source enterprise data into actionable insights. I work extensively with Microsoft Fabric Lakehouses for scalable analytics and leverage Purview to define governance domains, manage data assets, and implement KQL‑based data quality rules that ensure trusted data for enterprise reporting and decision‑making.Before transitioning into data, I spent a decade as a Mechanical Design Engineer and R&D Project Lead at Epiroc, leading product prototyping and development of heavy equipment for construction and mining. This experience gives me a unique ability to bridge engineering, operations, and analytics, making me well‑suited for roles that demand both technical rigor and business context.I am actively expanding my expertise into machine learning and AI applications, focusing on feature engineering, model evaluation, and applied ML workflows to complement my analytics background. Beyond professional work, I explore IoT systems (Raspberry Pi, Arduino, ESP32), reflecting my passion for smart and autonomous solutions that integrate hardware, data, and intelligence.I am motivated by opportunities to apply data‑driven insights across industries from finance and consulting to engineering and emerging AI domains to solve complex problems, improve decision‑making, and drive innovation.
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