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Data Engineering

Data Engineering

ETL/ELT pipelines, data quality, and analytics infrastructure. End-to-end enterprise delivery from discovery to production with SancakSoft.

Problem

Organizations investing in data engineering often face fragmented systems, unclear ownership, and delivery models that do not scale. Without a platform mindset, projects stall after launch.

Solution

SancakSoft combines architecture discipline, AI-native engineering, and transparent delivery to implement data engineering as a maintainable platform capability — not a one-off project.

Benefits

Scalable architecture

Modular system design that adapts to growing workloads.

Enterprise security

GDPR-aligned data handling and access control.

Measurable delivery

Transparent progress with sprint demos and clear milestones.

Delivery process

1. Discovery and scope alignment

2. Architecture design and approval

3. Agile development and demos

4. QA, security, and go-live

Full process →

Technologies

RESTGraphQLKafkaPostgreSQLPythonETL
Full tech stack →
KVKK / GDPRNDACI/CDTestingSecuritySLA & Support

Sık sorulan sorular

How long does a Data Engineering project take?

It depends on scope and integration depth. A phased timeline is shared after discovery.

Can you integrate with our existing systems?

Yes. Secure integration layers are designed for ERP, CRM, BI, and third-party APIs.

What does the support model look like?

Ongoing partnership with SLA-based maintenance, monitoring, and roadmap updates.

Discuss your Data Engineering project

Book a discovery call or start with the AI assessment.