Data engineering services built for Malaysian enterprises
Three focused services that address distinct layers of your data environment — from raw ingestion through to the trust and governance your analysts need to work with confidence.
Back to HomeHow each engagement is structured
Scoping
Understand your environment, objectives, and constraints before committing to a scope.
Discovery
Source mapping, access review, and architecture planning with your technical team.
Build
Incremental delivery with regular check-ins, so working components surface early.
Handover
Documentation, knowledge transfer sessions, and monitoring in place before we close.
Data Pipeline Architecture
Design and implementation of data pipelines that collect, transform, and deliver data from diverse sources to analytics-ready formats. The service covers source integration, ETL/ELT workflow design, scheduling, and monitoring setup.
Built for organizations that need reliable, maintainable data infrastructure as a foundation for AI and analytics work — not a temporary fix, but something your team can extend over time.
What's included
- Source inventory and integration mapping
- ETL/ELT workflow design and implementation
- Scheduling and orchestration setup (Airflow or equivalent)
- Pipeline monitoring and alerting configuration
- Technical documentation and handover session
Process steps
- 1.Source systems audit and access provisioning
- 2.Data flow design and schema mapping
- 3.Incremental pipeline build with staging reviews
- 4.Quality validation and error handling setup
- 5.Monitoring configuration and team handover
starting.price
RM 6,500
Typical duration: 3–6 weeks
// suitable_for
- Organizations with data in multiple disconnected systems
- Teams currently using manual exports and spreadsheet consolidation
- Businesses preparing for an analytics or AI initiative
- Companies whose pipelines are fragile or poorly documented
// cloud.options
Data Lake & Warehouse Setup
Architecture and deployment of cloud-based data lakes and warehouses tailored to your organization's data volumes and query patterns. The engagement includes schema design, partitioning strategy, access control configuration, and cost optimization guidance.
Suitable for Malaysian enterprises transitioning from fragmented data storage to centralized analytics platforms. We'll help you choose the right platform and get the architecture right from the start.
What's included
- Platform selection guidance (cloud-agnostic)
- Schema design and partitioning strategy
- Storage tiering and cost optimization setup
- Role-based access control configuration
- BI tool connection setup and validation
Process steps
- 1.Data volume assessment and query pattern analysis
- 2.Platform recommendation with cost modelling
- 3.Schema and layer architecture design
- 4.Deployment, access controls, and initial data loading
- 5.BI connection validation and documentation handover
starting.price
RM 8,200
Typical duration: 4–8 weeks
Data Quality & Governance Framework
Establishment of data quality monitoring, lineage tracking, and governance policies that ensure analytical outputs can be relied upon. Services include quality rule definition, validation pipeline setup, metadata cataloguing, and role-based access policy design.
Designed for organizations where data trust is foundational to decision-making — where an analyst acting on inaccurate data has real consequences.
What's included
- Data quality rule definition and documentation
- Validation pipeline configuration
- Data lineage tracking setup
- Metadata catalogue configuration
- Access policy design aligned with PDPA requirements
Process steps
- 1.Data quality audit across existing datasets
- 2.Governance policy design with stakeholder input
- 3.Validation pipeline implementation
- 4.Catalogue setup and lineage mapping
- 5.Policy documentation and team walkthrough
starting.price
RM 4,000
Typical duration: 2–4 weeks
// suitable_for
- Organizations where data reliability is questioned by internal stakeholders
- Regulated industries with audit or compliance data requirements
- Companies preparing for AI/ML models that require clean training data
- Businesses handling personal data under Malaysia's PDPA
Choosing the right service
Not sure where to start? This overview may help. If you're still uncertain, a scoping call is the most practical next step.
| // feature | Pipeline Architecture | Lake & Warehouse | Quality & Governance |
|---|---|---|---|
| Source integration | Partial | — | |
| ETL/ELT workflows | — | — | |
| Cloud storage architecture | Partial | — | |
| Warehouse / lake deployment | — | — | |
| Data quality rules | Partial | Partial | |
| Lineage tracking | — | — | |
| Access control setup | Partial | ||
| Monitoring & alerting | |||
| Documentation included | |||
| starting.price | RM 6,500 | RM 8,200 | RM 4,000 |
Services can be combined. Many engagements start with Pipeline Architecture and extend into Quality & Governance once the core infrastructure is in place.
Technical standards applied across all services
Security by Default
Least-privilege access, encryption at rest and in transit, and credential management from day one.
Version Control
All code and configuration managed in version control. Changes are tracked and reversible.
Observable Pipelines
Monitoring and alerting in place so your team has visibility into pipeline health without manual inspection.
Not sure which service fits your situation?
A brief scoping conversation is a reasonable place to start. Describe your current data environment and what you'd like to do with it — we'll give you an honest assessment.
Get in Touch