About
COMPANY STORY
Growth stage companies often recognize the need for more robust data infrastructure but are unsure where to start, which technologies to use, or how to apply them for meaningful business impact. Without clear direction, data systems tend to evolve in fragments, leading to fragile foundations, inconsistent reporting, and manual workarounds that do not scale.
DSC exists to bring clarity to that moment. We design and build foundational data systems that support reliable analytics today and enable AI and machine learning as organizations mature.
DSC exists to bring clarity to that moment. We design and build foundational data systems that support reliable analytics today and enable AI and machine learning as organizations mature.
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Our work spans data architecture, engineering, analytics, and applied AI, with a focus on getting the fundamentals right so teams can trust their data and build on it confidently.
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Based in the Greater Toronto Area, we work with organizations of all sizes and stages and collaborate closely with internal teams and subject matter experts wherever they are located. We do not replace domain expertise. We help operationalize it by building data platforms, analytics, and AI capabilities that support real decisions and continue to work as the business grows.
Our work spans data architecture, engineering, analytics, and applied AI, with a focus on getting the fundamentals right so teams can trust their data and build on it confidently.
Based in the Greater Toronto Area, we work with organizations of all sizes and stages and collaborate closely with internal teams and subject matter experts wherever they are located. We do not replace domain expertise. We help operationalize it by building data platforms, analytics, and AI capabilities that support real decisions and continue to work as the business grows.
Leadership team
Michael Nandlall
Founder & Chief Executive Officer
Nevin Mahilal
Chief Technology Officer
Bryan Guy
Chief Product Officer
Japneet Jabbal
Manager, PMO
Hem Joshi
Manager, Analytics & Data Engineering
Abhishek Ahluwalia
Manager, Sales
Maria Mehkari
Manager, Marketing
Noor Aziz
Chief People Officer
Kevin Yuan
Solutions Architect
Michael Nandlall
Founder & Chief Executive Officer
Nevin Mahilal
Chief Technology Officer
Bryan Guy
Chief Product Officer
Japneet Jabbal
Manager, PMO
Hem Joshi
Manager, Analytics & Data Engineering
Abhishek Ahluwalia
Manager, Sales
Maria Mehkari
Manager, Marketing
Noor Aziz
Chief People Officer
Kevin Yuan
Solutions Architect
How We Work
Our approach is collaborative, structured, and focused on building strong foundations. We work closely with internal teams
to understand how data is used today, where it breaks down, and what is required to create systems that can be trusted as the
business grows.
Our approach is collaborative, structured, and focused on building strong foundations.
We work closely with internal teams to understand how data is used today, where it breaks down, and what is required to create systems that can be trusted as the business grows.
Discovery and Alignment
 We start by understanding your business context, data landscape, and decision-making needs. This includes reviewing source systems, existing reporting, and key metrics. The goal is to align early on priorities, constraints, and what success looks like, so there are no surprises later.
Architecture and Planning
We design a data architecture tailored to your needs, with an emphasis on clarity, reliability, and long-term usability. This includes data models, integration patterns, access considerations, and governance foundations. Solutions are scoped deliberately so delivery remains predictable and teams know exactly what will be built and why.
Build and Implementation
We implement in focused phases, working alongside your team rather than in a black box. Data pipelines, transformations, models, and analytics are built with reliability and maintainability in mind. Throughout the build, we validate outputs, communicate progress clearly, and address issues early.
Validation and Enablement
Before handoff, we ensure systems are accurate, stable, and ready for day-to-day use. This includes data validation, documentation, and walkthroughs with the teams who will own the platform. The goal is a strong, usable foundation that teams can build on confidently, not an attempt to solve every problem at once.
Ongoing Support and Next Steps
After delivery, we remain available to support refinements, extensions, and new use cases as needs evolve. Whether that means expanding analytics, adding governance, or preparing for AI and machine learning, we focus on keeping the platform reliable while helping teams plan what comes next.
