Data Engineering Services
Our Services

Comprehensive Data Engineering Solutions

From architecture design to pipeline automation and warehouse modernization, we deliver end-to-end data infrastructure services.

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Our Service Methodology

A structured approach to data infrastructure that delivers measurable results

Data Nexus services are built on a foundation of technical precision and practical experience. We begin every engagement with thorough assessment of existing systems and requirements, ensuring our recommendations address actual needs rather than theoretical possibilities. This discovery phase establishes a clear understanding of current state, desired outcomes, and constraints that will guide the project.

Our methodology combines architecture design with hands-on implementation, delivering working systems rather than just documentation. We follow engineering practices including version control, automated testing, and continuous integration to ensure reliability and maintainability. Each service includes knowledge transfer components, building internal capabilities so your team can operate and extend the platform independently.

Throughout the engagement, we maintain transparent communication about progress, challenges, and decisions. Regular reviews ensure alignment with business objectives and provide opportunities to adjust priorities as needed. This collaborative approach results in solutions that meet technical requirements while supporting organizational goals.

Discovery Phase

Comprehensive analysis of current data landscape, business requirements, and technical constraints. We document existing architecture, identify pain points, and establish success criteria for the engagement.

Implementation

Iterative development following modern engineering practices. We build incrementally, deploying working components early to validate assumptions and gather feedback throughout the project timeline.

Knowledge Transfer

Comprehensive documentation and training ensure your team can maintain and extend the data platform. We build internal capabilities rather than creating ongoing dependencies.

Enterprise Data Architecture Design
Service 01

Enterprise Data Architecture Design

Build robust data foundations that support analytics, reporting, and machine learning initiatives across your organization.

Â¥4,250,000
Starting investment
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What This Service Includes

Architecture Design

  • • Comprehensive data platform architecture specifications
  • • Data lake and warehouse implementation design
  • • Integration patterns for diverse data sources
  • • Cloud platform selection and optimization strategy

Governance Framework

  • • Data quality monitoring and validation frameworks
  • • Metadata management and catalog implementation
  • • Security controls and access management design
  • • Compliance and privacy requirement integration

Expected Results

Organizations receive a comprehensive architecture blueprint including technical specifications, implementation roadmap, and governance framework. The design supports current analytical requirements while providing flexibility for future capabilities. Documentation enables informed decision-making and guides implementation teams throughout the project lifecycle.

Service 02

ETL Pipeline Development & Automation

Streamline data flow across your organization with automated pipelines that ensure timely, accurate data delivery.

Â¥2,680,000
Starting investment
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ETL Pipeline Development

What This Service Includes

Pipeline Development

  • • Custom ETL processes for diverse data sources
  • • Real-time streaming and batch processing implementation
  • • Data transformation and enrichment logic
  • • Incremental loading and change data capture

Automation & Monitoring

  • • Orchestration and scheduling framework setup
  • • Error handling and retry mechanisms
  • • Comprehensive monitoring and alerting systems
  • • Data validation and quality checks integration

Expected Results

Reliable automated pipelines that consistently deliver accurate data to analytical systems. Organizations experience reduced manual intervention, faster data availability, and improved data quality through systematic validation. Monitoring capabilities enable proactive issue detection and rapid resolution when problems occur.

Data Warehouse Modernization
Service 03

Data Warehouse Modernization

Transform legacy warehouses into modern, cloud-based analytics platforms that deliver insights faster and more efficiently.

Â¥3,450,000
Starting investment
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What This Service Includes

Migration Strategy

  • • Comprehensive assessment of existing warehouse
  • • Cloud platform selection and architecture design
  • • Phased migration plan minimizing disruption
  • • Historical data migration and validation

Platform Enhancement

  • • Data model optimization for cloud platforms
  • • Performance tuning and query optimization
  • • Modern BI tool integration and setup
  • • DataOps practices and automation implementation

Expected Results

A modern cloud-based warehouse delivering improved query performance, elastic scalability, and reduced operational overhead. Organizations gain self-service analytics capabilities, automated deployment processes, and cost-optimized infrastructure. The modernized platform supports current analytical needs while enabling future capabilities.

Service Selection Guidance

Understanding which services align with your organization's needs and priorities

Capability Architecture Design ETL Pipeline Warehouse Modernization
Platform Strategy
Data Integration
Governance Framework
Performance Optimization
Cloud Migration
Automation & Monitoring
Primary Focus Included Not Included

Choose Architecture Design When:

  • • Starting new data platform initiatives
  • • Planning significant infrastructure changes
  • • Establishing governance frameworks

Choose ETL Pipeline When:

  • • Improving data integration reliability
  • • Automating manual data processes
  • • Implementing real-time data flows

Choose Modernization When:

  • • Legacy systems limit performance
  • • Migrating to cloud platforms
  • • Reducing infrastructure costs

Technology Stack and Tools

Modern platforms and proven technologies for reliable data infrastructure

Cloud Platforms

We implement data architectures on leading cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform. Our team has deep expertise across these environments, selecting the optimal platform based on your organizational requirements, existing infrastructure, and technical needs.

AWS Azure GCP

Data Platforms

Our implementations leverage modern data platforms optimized for analytical workloads. We work with Snowflake, Databricks, Redshift, BigQuery, and Synapse Analytics, selecting technologies that match your performance requirements, data volumes, and analytical use cases.

Snowflake Databricks BigQuery

Processing Frameworks

ETL and data processing implementations use Apache Spark for distributed processing, Kafka for real-time streaming, and various cloud-native services for serverless data transformation. We select frameworks based on data volume, processing complexity, and latency requirements.

Spark Kafka Airflow

DevOps and Monitoring

Infrastructure as code using Terraform, version control with Git, CI/CD pipelines using GitHub Actions or Azure DevOps, and comprehensive monitoring with Datadog or CloudWatch. These tools enable reliable automated deployments and operational visibility.

Terraform Git Datadog

Service Packages and Combinations

Integrated solutions for comprehensive data infrastructure transformation

Complete Platform Build

Architecture Design + ETL Pipeline Development + Warehouse Modernization

This comprehensive package covers the entire data platform lifecycle from initial architecture design through implementation and optimization. Organizations receive a complete solution including infrastructure design, automated data pipelines, and modernized warehouse capabilities. This integrated approach ensures all components work together seamlessly and follow consistent design patterns.

Â¥9,800,000
Save ¥580,000

Foundation Package

Architecture Design + ETL Pipeline Development

Ideal for organizations starting new data initiatives. This package establishes the architectural foundation and implements initial data integration pipelines, enabling analytics capabilities while setting the stage for future expansion.

Â¥6,500,000
Save ¥430,000

Transformation Package

Warehouse Modernization + ETL Pipeline Development

Designed for organizations modernizing existing infrastructure. This combination migrates legacy warehouses to cloud platforms while implementing reliable automated pipelines for ongoing data integration and processing.

Â¥5,700,000
Save ¥430,000

Custom Service Combinations

We can tailor service combinations to match your specific requirements and priorities. Phased implementations allow organizations to spread investments over time while delivering incremental value. Contact us to discuss a custom package that addresses your unique data infrastructure needs and budget considerations.

Ready to Discuss Your Data Infrastructure Needs?

Let's explore how our services can support your organization's data architecture and analytics goals

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