Partners
At Kanda, we believe that a great team accomplishes more than the sum of its parts. This is why we continue to invest in hiring and retaining the best talent and in building a team culture with the joint sense of ownership and goals to deliver the best experience to our clients. To complement our internal expertise, we are working hard on building strong partnerships with the companies at the forefront of Digital Transformation and are joining forces with their teams to deliver future-proof innovative applications, data platforms and solutions.
Benefits For Our Clients
- Assurance that Kanda’s Cloud Engineering, Migration, Big Data and Analytics, and DevOps teams have in-depth knowledge and practical experience to assess, plan, develop and support best-in-class Cloud and Data Warehousing solutions
- Opportunity to not only collaborate with Kanda, but also join forces with Google, Microsoft and AWS experts, to design and deliver custom software applications and data platforms and get the most out of your cloud investment.
- Incentives for Startups to help launch solutions to the market
Client Spotlight
Trusted by 350+ Clients Worldwide
AWS Advanced Consulting Partner
As an AWS Advanced Consulting Partner, Kanda has an experienced team of cloud architects and engineers, DevOps experts, and data scientists that are skilled at full-cycle cloud engineering implementation ranging from assessment and design to cloud migration implementation, could-native development, optimization, and maintenance.
Google Cloud Premier Partner
We specialize in helping businesses of all sizes design, architect, migrate, build, optimize and maintain applications on Google Cloud Platform. We empower our clients to customize consumer experiences using analytics-enabled big data platforms, AI and Machine learning.
Microsoft Gold Partner
As a Microsoft-certified application development partner we provide future-proof and agile software solutions and applications that are tailored to unique needs and budgets of each client.
Awards and Recognition
Case Studies
Blog
Why Omics and Clinical Data Integration Remain a Challenge and How to Fix It
Key Takeaways Omics and clinical data often remain separate, making them harder to use together than they should be. The main challenge is usually not the data itself, but the mismatched formats, siloed systems, and disconnected teams surrounding it Addressing that requires robust infrastructure, shared standards, and workflows that hold up without constant manual intervention.…Learn More
How to Turn Your Broken Data Workflows Into Scalable Data Pipelines: An Ultimate Guide
Key Takeaways Workflows break at scale not because of selecting wrong tools, but because project-level habits, manual handoffs, copy-pasted scripts become the operating model. The architecture patterns that enable scalability: decoupled storage and compute, deliberate data layering, and orchestration treated as a control plane. Pipeline reliability is a delivery problem too. Version control, CI/CD, and…Learn More
