The engineers behind Datavine
A data engineering practice built in Kuala Lumpur, focused on infrastructure that Malaysian organizations can maintain, extend, and rely on.
Back to HomeHow Datavine came together
Datavine was founded by a group of data engineers who had spent years working inside large enterprises in Malaysia — watching organizations struggle not because of a lack of data, but because the infrastructure connecting data sources to decision-makers was fragile, undocumented, or simply absent.
The founding insight was straightforward: organizations need engineers who will sit alongside their teams, build reliable pipelines, and hand over infrastructure that the internal team can own. Not frameworks that require ongoing dependency on external consultants.
Today, Datavine works with companies across sectors in Malaysia — from financial services to logistics to manufacturing — helping them move from fragmented data stores to analytics-ready infrastructure. Every engagement ends with documentation, knowledge transfer, and a system your team can work with independently.
7+
Years of data engineering experience
60+
Data pipelines deployed
30+
Organizations served in Malaysia
3
Cloud platforms we work with
What guides our work
Build to Last
We build systems the client can maintain themselves. If the infrastructure requires us to keep it running, we haven't finished the job.
Document Everything
Clear documentation isn't optional — it's part of the deliverable. We write for the engineer who will maintain the system two years from now.
Communicate Clearly
We explain technical decisions in plain language. Clients deserve to understand what's being built in their environment, not just the outcomes.
The people doing the work
A small, focused team where every member works directly on client engagements.
Amir Sulaiman
Lead Data Engineer
Specializes in pipeline architecture and ETL/ELT design. Previously led data infrastructure for a Kuala Lumpur-based fintech company for five years.
Nurul Rashidah
Cloud & Warehouse Architect
Focuses on cloud data platform design across AWS and Azure. Brings experience from logistics and e-commerce data modernization projects in Malaysia.
Wei Kiat Loh
Data Quality Specialist
Leads data quality and governance engagements. Background in building data trust frameworks for regulated industries including healthcare and financial services.
How we maintain quality across engagements
Every project follows a consistent set of technical and process standards — regardless of scope or client size.
Version-Controlled Infrastructure
All pipeline code and configuration lives in version control from day one. Changes are tracked, reviewable, and reversible.
Security-First Architecture
Least-privilege access, encryption at rest and in transit, and role-based access controls applied as standard, not as an afterthought.
Structured Documentation
Every engagement delivers technical documentation covering architecture decisions, data flows, and maintenance procedures.
PDPA Compliance Awareness
Data handling practices are designed with Malaysia's Personal Data Protection Act 2010 in mind wherever personal data passes through the system.
Pipeline Monitoring Setup
Pipelines are delivered with monitoring and alerting in place so your team can see the health of data flows without needing to investigate manually.
Knowledge Transfer Included
Handover sessions walk your team through what was built and why. We want your engineers to feel confident with the infrastructure going forward.
Data engineering in the Malaysian context
Organizations in Malaysia are at a range of stages with their data infrastructure. Some have accumulated years of data across disconnected systems and need help bringing it together into something useful. Others are building from scratch and want to get the architecture right from the beginning. Datavine works with both.
Our team has direct experience with the kinds of systems Malaysian enterprises actually use — on-premise databases running alongside cloud platforms, legacy ERP systems that need data extracted carefully, and SaaS tools that expose APIs which weren't designed with analytics in mind. That familiarity with the messy reality of data infrastructure is part of what we bring to each project.
We work with organizations where data quality matters — where an analyst acting on bad data costs real money or causes real problems. That's why our approach treats data quality and governance not as a separate concern, but as something woven into every pipeline we build.
If you're based in the Klang Valley or working with a Malaysian enterprise, we're glad to have a conversation about your current data environment and what's getting in the way of the analytics work you'd like to do.
Have a data infrastructure question?
We're straightforward to reach, and happy to discuss your situation without any commitment from you.
Get in Touch