// datavine :: data_engineering_services

Data infrastructure your analytics team can rely on

Datavine helps Malaysian organizations design and manage the data pipelines, lakes, and governance frameworks that underpin thoughtful AI and analytics work.

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+60 3-6297 4518 [email protected] Mont Kiara, Kuala Lumpur
// service.pipeline

Three ways to strengthen your data infrastructure

Each service addresses a distinct layer of your data environment — from ingestion through to the quality and governance of what reaches your analysts.

Data Pipeline Architecture stage.01

Data Pipeline Architecture

Design and implementation of data pipelines that collect, transform, and deliver data from diverse sources to analytics-ready formats. Covers source integration, ETL/ELT workflow design, scheduling, and monitoring setup.

RM 6,500 Enquire
Data Lake & Warehouse Setup stage.02

Data Lake & Warehouse Setup

Architecture and deployment of cloud-based data lakes and warehouses tailored to your data volumes and query patterns. Includes schema design, partitioning strategy, access control, and cost optimization guidance.

RM 8,200 Enquire
Data Quality & Governance stage.03

Data Quality & Governance

Establishment of data quality monitoring, lineage tracking, and governance policies that ensure analytical outputs can be relied upon. Includes quality rule definition, validation pipelines, metadata cataloguing, and access policy design.

RM 4,000 Enquire
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Why organizations work with us

We bring a hands-on approach to data engineering — not advisory-only, but active delivery of infrastructure your team can maintain and build on.

Hands-On Technical Delivery

Our engineers work directly inside your infrastructure — not just issuing recommendations from the outside.

Cloud-Agnostic Approach

We work across AWS, Azure, and Google Cloud, adapting to your existing environment rather than advocating for a platform.

Malaysian Market Understanding

Based in Kuala Lumpur, we're familiar with the data compliance landscape under Malaysia's PDPA and local enterprise needs.

Documentation as Standard

Every engagement includes structured technical documentation — so your team understands what was built and how to maintain it.

Transparent Pricing

Pricing is agreed before work begins, with a clear scope. No mid-project adjustments without your prior agreement.

Post-Delivery Consultation

After handover, your team can reach out with follow-up questions. We're available to support the work we've delivered.

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Ready to bring your data architecture into shape?

If you have questions about how our services might fit your situation, we're glad to have a conversation without pressure. A scoping call costs nothing.

Get in Touch
+60 3-6297 4518 [email protected]
// faq.common_queries

Questions we hear often

What kinds of data sources do you typically work with?
Our pipeline work covers a broad range of sources — relational databases, REST APIs, streaming systems, flat files, and SaaS platform exports. We start each engagement with a source inventory exercise so nothing is overlooked before we begin designing the flow.
How long does a data pipeline engagement typically take?
Scope varies with source complexity and volume. A focused pipeline build for two or three sources typically runs three to six weeks. More complex integrations — involving many sources, custom transformations, or legacy systems — may extend to two or three months. We'll outline a realistic timeline in the technical proposal.
Which cloud platforms do you work with?
We have experience across AWS, Azure, and Google Cloud. Our approach doesn't favor one platform over another — we start from your existing setup and work within it. For greenfield projects, we'll walk through the trade-offs with you so the choice aligns with your organization's direction.
What does the engagement process look like from start to finish?
We begin with a scoping call to understand your data landscape and objectives. From there we put together a technical proposal with a clear scope, timeline, and pricing. Once agreed, we move through discovery, build, and handover phases, with regular check-ins so there are no surprises along the way.
How do you approach data security and access control?
Security considerations are part of the architecture from the outset. We design pipelines with least-privilege access, apply encryption at rest and in transit, and configure role-based access controls that match your team structure. Compliance with Malaysia's Personal Data Protection Act 2010 is factored in wherever personal data is handled.
Will your setup integrate with our existing BI or reporting tools?
Yes. We structure output layers with your downstream tools in mind — whether that's Power BI, Looker, Metabase, Tableau, or something else. If you have a preferred tool, we'll make sure the data layer is shaped to support it well from day one.
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Our Office in Kuala Lumpur

10 Jalan Solaris, Mont Kiara, 50480 Kuala Lumpur

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Get in Touch

We're straightforward to reach. Fill in the form or use the details below.

Contact Details

address

10 Jalan Solaris, Mont Kiara,
50480 Kuala Lumpur, Malaysia

working_hours

Mon – Fri: 9:00 AM – 6:00 PM MYT

Closed on weekends and Malaysian public holidays

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