Sanjay Singh Gusain
Manager Division Operations & Data Analytics at Stryker
Based in Delhi, India
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Seniority
Other
Department
Other
Location
Delhi
Industry
Medical Equipment Manufacturing
Company size
52K
Contact information
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s•••••••@stryker.com
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Background
About Sanjay Singh Gusain
Experienced Data & Analytics Leader | Data Engineering Manager | Cloud Transformation Specialist With over 13 years of proven expertise in data engineering, analytics, cloud migrations, and product management, I specialize in designing scalable data solutions that drive actionable insights and enable organizations to make informed decisions. At Bain & Company, I have led the development of advanced data platforms, executed large-scale cloud migration strategies, and managed high-performing cross-functional teams. From building real-time ETL pipelines using Databricks and Azure to automating 10+ million daily records processing, I thrive on delivering impactful solutions that blend innovation and operational efficiency. Some of my key accomplishments include: Successfully migrating 40+ datasets to cloud infrastructure with a focus on robust architecture, data governance, and automation. Designing end-to-end data pipelines that calculate KPIs using the Medallion architecture for real-time insights. Creating and scaling Centers of Excellence (CoEs) in data engineering, BI, and survey programming, driving innovation across multiple industries. Leading CI/CD pipeline implementation, expediting dev-to-prod cycles for hundreds of workflows. Previously at BCG, I developed diagnostic tools like the Global Manufacturing Cost Comparator and advanced supply chain analytics frameworks, while at Evalueserve, I built BI dashboards for C-suite executives in the pharmaceutical industry. I am passionate about combining my technical expertise in Databricks, PySpark, ETL, Azure, and Tableau with a strategic vision to empower businesses through data-driven decision-making. As a mentor and team builder, I take pride in fostering a culture of excellence and innovation within my teams. Feel free to connect with me to discuss analytics products development, data engineering strategies, cloud transformations, or collaborative opportunities!
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