Data, cloud & secure AI platforms that scale and stay up
We design, stabilise and protect mission-critical systems: big data platforms, AWS, Azure and hybrid cloud, DevOps and CI/CD pipelines, disaster recovery and secure AI, with hands-on engineering from assessment to handover.
- Founder-led, senior architect on every engagement
- Banking, telecom & automotive experience
- Based in Toronto (Scarborough)
Founder's enterprise consulting experience includes
- Ford
- CGI
- National Bank
- CIBC
- Rogers
- TD Securities
When the platform can't afford to fail
We work where performance, security and business continuity matter most, and where problems usually show up under production load.
Slow, risky releases
Manual deployments, hand-run scripts and no pipeline, so every release depends on one person and a late night.
Untested recovery plans
A DR plan exists on paper, but failover has never been proven end to end.
AI stuck at security review
AI ideas stall because they must fit regulated data, legacy systems and governance controls.
Solutions designed for scale, security and resilience
Six practices, one team. Pick the layer you need help with, or bring us the whole stack.
U01 Data
Data & big data platforms
Design, run and fix the platforms your analytics depend on.
- Hadoop, HDFS, YARN and Ambari environments
- Dremio optimization and distributed query systems
- Data lake and analytics platform design
- Data validation and streaming architectures
- Hadoop
- HDFS
- YARN
- Ambari
- Dremio
Outcome A stable, well-designed platform your analysts can rely on.
Discuss your data platformU02 Cloud
Cloud & infrastructure architecture
Architecture that scales with demand across public, private and hybrid estates.
- AWS, Azure and hybrid cloud solutions
- Scalable, high-availability system design
- Infrastructure modernization initiatives
- Platform performance and cost optimization
- AWS
- Azure
- Hybrid
- On-premises
Outcome Infrastructure that grows with demand without runaway cost.
Discuss your cloud architectureU03 DevOps
Workflow, DevOps & CI/CD pipelines
Automate the path from commit to production, with security checks built into every step and the controls your auditors expect.
- CI/CD pipeline setup and upgrades (build, test, deploy)
- Security scans built in at every stage: IDE, repo, pipeline, and deploy & runtime (DevSecOps)
- Infrastructure as code and repeatable environments
- Workflow automation for data jobs, releases and operations
- Release, rollback and approval gates for regulated teams
- DevSecOps
- Pipelines as code
- Infrastructure as code
- Approval gates
- Rollback
Outcome Faster, repeatable releases with less manual risk.
Discuss your pipelinesDevSecOps Security at every stage
Where the security scans run
We "shift left": every stage has its own automated check, so problems are caught where they are cheapest to fix, not after release.
-
1
IDE
Catch it while typing
- Static code analysis (SAST) plug-ins
- Secret detection as you code
- Vulnerable-dependency warnings
- Pre-commit hooks before code leaves the laptop
Catches hard-coded passwords, injection-prone code
-
2
Repo
Catch it before merge
- SAST and secret scanning on every pull request
- Dependency (SCA) and licence checks
- Required security checks to merge
- Branch protection and peer review
Catches leaked keys, risky libraries, unreviewed changes
-
3
Pipeline
Catch it before anything is built or shipped
- Code: full SAST and SCA scans, SBOM
- IaC: Terraform, ARM/Bicep and Kubernetes scans
- Containers: image scanning and signing
- Build fails on critical findings
Catches vulnerable code and images, misconfigured infrastructure
-
4
Deploy & runtime
Catch it before and after release
- DAST: dynamic and API tests on staging
- Gates: policy checks, signature verification, approvals
- Monitoring: runtime threat detection, cloud configuration checks
- Continuous re-scans and audit logs
Catches exposed endpoints, drift, newly disclosed CVEs
U04 Resilience
Disaster recovery & business continuity
Plans that are proven by failover tests, not just written down.
- End-to-end DR strategy and planning
- Failover architecture and recovery testing
- Business continuity frameworks
- Multi-environment resiliency design
- DR runbooks
- Failover tests
- Continuity plans
Outcome A recovery plan that has been tested, not just written.
Discuss your recovery planU05 AI
Secure AI solutions
AI inside your security boundary, connected to the systems you already run.
- AI-driven data workflows and validation
- Secure architecture for enterprise AI systems
- Integration with legacy and regulated platforms
- Governance, control and compliance support
- Governance
- Access controls
- Data validation
- Legacy integration
Outcome AI that gets through security review and into production.
Discuss secure AIU06 Advisory
Advisory & delivery
Independent assessments and a roadmap your leadership can fund.
- Architecture reviews and technical assessments
- Implementation roadmaps and modernization plans
- Executive-level technical guidance
- Documentation and knowledge transfer
- Assessments
- Roadmaps
- Knowledge transfer
Outcome A roadmap leadership can fund and teams can execute.
Book an architecture reviewExecution depth that goes beyond strategy
We combine architecture thinking with hands-on delivery in production-grade environments. Every engagement leaves you with working systems and documents your team can own.
Technical strengths
- Enterprise data platform design and stabilization
- Distributed system troubleshooting and recovery planning
- Secure AI within enterprise controls
- Cloud, DevOps and CI/CD modernization
Business value
- Lower operational risk, stronger resilience
- Faster, safer releases and better scalability
- Clear roadmaps for modernization
- Architecture aligned with business goals
Typical engagement deliverables
- Architecture reviewfindings, risks, priorities
- CI/CD pipelinebuild, test and deploy, documented
- DR runbookfailover steps and test results
- Secure AI reference designcontrols and data flows
- Modernization roadmapphased plan with effort estimates
- Knowledge transfersessions and documentation
From assessment to optimization
Every engagement is structured to reduce risk, align with business goals and deliver measurable technical value.
Discover
Assess current architecture, identify performance constraints and understand risk exposure.
Design
Create secure, scalable, future-ready solutions aligned with your enterprise needs.
Implement
Deliver with clear governance, practical documentation and minimal disruption.
Optimize
Improve reliability, performance, cost efficiency and observability.
Transfer knowledge
Equip your team with training, frameworks and operational clarity.
Experience across complex enterprise environments
Banking & financial services
Secure, high-availability solutions for regulated, performance-sensitive environments.
Telecommunications
Platform stability for large-scale data and service ecosystems.
Automotive
Scalable systems for enterprise operations, integration and modernization.
Enterprise technology
Architecture, troubleshooting and optimization for data-intensive platforms.
Trusted enterprise consulting, grounded in execution
ScaleGrowth.ca (7550278 Canada Inc.) is a specialized IT consulting firm delivering enterprise-grade solutions across infrastructure, data and AI systems. We support organizations that need scalable architecture, strong resilience and measurable technical outcomes.
From distributed data platforms to secure modernization programs, our work focuses on environments where performance, reliability and business continuity matter most. Our motto sums up how we work with clients and their teams: we all grow together.
Ananthan Kathiramalai
Senior Engineer · Data & Infrastructure Architect
Deep enterprise consulting experience across infrastructure, distributed systems, secure AI solutions and disaster recovery strategy.
- Data platforms
- Cloud architecture
- Secure AI
- Disaster recovery
- Hadoop & Dremio
Common questions
Which platforms and technologies do you work with?
Hadoop (HDFS, YARN, Ambari), Dremio, data lakes and streaming architectures; AWS, Azure and hybrid cloud; and secure AI integrated with enterprise and legacy systems.
Can you set up or improve our CI/CD pipelines?
Yes. We design and set up CI/CD pipelines, or upgrade existing ones, with automated build, test and deployment, plus approval and rollback steps where your controls require them. Security scanning is built in at four points: in the IDE (catch it while typing), in the repo (catch it before merge), in the pipeline (catch it before anything is built or shipped: code, IaC and containers), and at deploy and runtime (catch it before and after release with DAST, gates and monitoring). We document everything so your team can run it.
Do you only advise, or do you also implement?
Both. We deliver architecture reviews and roadmaps, and we implement and optimize with your team, finishing with documentation and knowledge transfer.
How do you approach AI in regulated environments?
We design AI workflows inside your existing security and governance controls, integrate them with legacy and regulated platforms, and document the data flows so they can be reviewed.
Where are you based?
Our office is at 2225 Markham Road, Suite 201, Scarborough (Toronto), Ontario. Contact us to discuss your environment and engagement model.
Let's build something scalable.
Ready to modernize your data platform, automate your releases or strengthen resilience? Let's start the conversation.
Scarborough, Ontario M1B 2W4