Aanchal Sachdeva
Engineering Specialist at Zs
Based in Toronto, Canada
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Seniority
Staff
Department
Engineering
Location
Toronto
Industry
Business Consulting and Services
Company size
21K
Contact information
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a•••••••@zs.com
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Background
About Aanchal Sachdeva
Passionate about transforming raw data into strategic business value across diverse industries, I'm a Senior Data Engineer with 6+ years of experience delivering innovative data solutions for Fortune 500 companies in healthcare, retail, and financial services. My Journey: Healthcare & Pharmaceuticals: Currently leading AI-driven data solutions for major pharmaceutical companies (Roche, Amgen, J&J, BMS, Merck) Retail Analytics: Engineered comprehensive data platforms for Adidas global operations, optimizing sales and inventory management Financial Services: Built robust insurance and people data systems at Sun Life, focusing on risk assessment and regulatory compliance What drives me: The intersection of cutting-edge technology and industry transformation. I specialize in building scalable data infrastructure that enables life-changing discoveries, optimizes retail operations, and strengthens financial services. My expertise spans: Multi-Industry Data Architecture: Healthcare, Retail, Insurance & Financial Services Advanced AI/ML: Agentic AI frameworks, LangGraph, AWS Bedrock, Databricks Cloud-Native Solutions: AWS ecosystem, Kubernetes, serverless computing Leadership: Project management, team mentoring, stakeholder engagement Recent highlights: Led development of revolutionary Agentic AI framework enabling rapid AI agent deployment Architected graph-based data accelerators reducing processing time by 90% Delivered retail analytics solutions optimizing Adidas global sales operations Built insurance data systems ensuring regulatory compliance and fraud detection Currently exploring senior data engineering opportunities in Toronto's dynamic technology sector, where I can contribute to Canada's growing reputation as a global data and AI innovation hub. Let's connect if you're interested in discussing data engineering, cross-industry AI innovation, or opportunities in Ontario's tech ecosystem!
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