Our Technology Expertise Matrix
We leverage leading-edge technologies to develop data engineering solutions and continuously evolve our toolkit.
Data Engineering Services
Turn Data Complexity into Competitive Advantage
Revamp your data stack with proven architectures, faster delivery cycles, and full observability that are engineered for impact.
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Trusted by our Clients
Service Scope
Next-gen Data Engineering Solutions
Unlock business potential with solutions designed to maximize data value, enabling smarter decisions and a lasting competitive edge.
Data Engineering Consulting & Architecture
Transform your data vision into reality with expert guidance on strategy, platform design, and scalable architecture. Get future-ready data foundations that support your business.
Big Data Processing & MLOps Integration
We harness the power of big data with scalable processing and integrated AI/ML pipelines to ensure your high-throughput data flows and seamless model deployment.
Data Ingestion & Migration
Seamlessly connect and move data from on-premises or cloud into modern data platforms. We ensure smooth migrations, real-time ingestion, and zero downtime.
Data Lakes & Data Warehouses
Whether you're managing raw or refined data, we design high-performance lakes and warehouses that power real-time insights, ML workloads, and BI dashboards.
Streaming & Real-Time Analytics
Capture and analyze data in motion with real-time streaming pipelines. We help you build event-driven architectures that power instant decisions.
Data Governance & Quality
By implementing governance frameworks, you can ensure data quality and protect privacy, empowering your teams with trustworthy information.
Why choose us
The Right Data Engineering Expertise for The Real Business Value
Many leading companies have entrusted us to consistently deliver scalable, high-impact data solutions that drive measurable results.
Talk to Our Data Architects
Talk to Our Data Architects
Our experts are proficient in leveraging cutting-edge tools to build data platforms, streamline ETL/ELT workflows, and ensure high data quality.
Business Outcomes Priority
At Orient Software, data engineering is about delivering outcomes. Every solution we design is aligned with your goals, ensuring measurable value.
Global Presence, Localized Solutions
With operations across multiple countries, we blend global expertise with deep local insights to deliver custom-fit data solutions.
Partnerships with Leading Tech Providers
We maintain strong tech partnerships with Microsoft, Salesforce, AWS, Google, and more, enabling best-fitting solutions without lock-in.
Our Successful Projects
Excosoft Streamlined Data Extraction Through Data Engineering Consulting
Excosoft partnered with Orient Software to design a document transformation pipeline to convert extracted data into the Flex file format automatically. This collaboration ensured high data integrity with minimal errors during conversion.
Read the full case study
Conexus AS Partnered with Orient Software to Modernize Its Data Infrastructure
With the goal of processing and structuring large-scale review datasets to generate actionable insights, Conexus teamed up with Orient Software to deliver real-time analytics that help support continuous platform improvements.
Read the full case study
Struggling with Data? We’ve Got Engineering Services You Need
Streamline Complex Data Ecosystems
Our engineers streamline legacy systems and unstructured data formats with robust pipelines that bring consistency and clarity to your data.
Enable Faster, Smarter Decision-Making
By transforming data across platforms, we enable real-time access to trustworthy insights, helping your team act faster.
Ready for Next-Gen Innovation
We prepare your infrastructure for advanced use cases like AI/ML and predictive analytics, enabling future innovation for your firm.
Keep Your Data Secure and Compliant
We help you align with standards like GDPR or HIPAA, implement strong access controls, and monitor your data flows with full transparency.
Industries Use Cases
- Banking & Financial Services
- Healthcare
- Retail & E-commerce
- Logistics & Supply Chain
- Education & EdTech
- Manufacturing
- Human Resources
- Telecommunications
- Market Data Infrastructure
- Risk Scoring & Credit Models
- Algorithmic Trading
- Patient Data Integration
- Predictive Health Analytics
- Operational Efficiency
- Customer Profiles and Personalization
- Inventory Optimization
- Dynamic Pricing Models
- Real-Time Tracking Pipelines
- Demand Forecasting
- Warehouse & Route Optimization
- Learning Analytics
- Adaptive Learning Systems
- Operational Insights
- Predictive Maintenance
- IoT Sensor Data Pipelines
- Quality Control
- Talent Aquisition Analytics
- Workforce Planning & Forecasting
- Engagement Dashboards
- Network Performance Monitoring
- Churn Prediction Models
- Customer Experience Analytics
Banking & Financial Services
- Market Data Infrastructure
- Risk Scoring & Credit Models
- Algorithmic Trading
Healthcare
- Patient Data Integration
- Predictive Health Analytics
- Operational Efficiency
Retail & E-commerce
- Customer Profiles and Personalization
- Inventory Optimization
- Dynamic Pricing Models
Logistics & Supply Chain
- Real-Time Tracking Pipelines
- Demand Forecasting
- Warehouse & Route Optimization
Education & EdTech
- Learning Analytics
- Adaptive Learning Systems
- Operational Insights
Manufacturing
- Predictive Maintenance
- IoT Sensor Data Pipelines
- Quality Control
Human Resources
- Talent Aquisition Analytics
- Workforce Planning & Forecasting
- Engagement Dashboards
Telecommunications
- Network Performance Monitoring
- Churn Prediction Models
- Customer Experience Analytics
Start Strong with Our Proven Data Engineering Process
Step 1Data Advisory & Architecture
We start by assessing your current data landscape and aligning it with your business goals. Then, we design data architecture that supports long-term growth.
Step 2Data Ingestion & Cleaning
By building robust pipelines, we help extract data from multiple sources and apply cleaning processes to ensure readiness for transformation.
Step 3Data Lake Building
Our experts develop a centralized data lake to store raw, structured, and unstructured data files in one repository with minimal cost.
Step 4ETL/ELT Pipelines Implementation
After preparing the stored data, the ETL engineer initiates processing—transforming raw inputs into meaningful, actionable information.
Step 5Data Modelling
At this stage, we structure your data into logical, query-optimized models that support efficient reporting, dashboarding, and business intelligence.
Step 6Quality Assurance & Deploy
We perform thorough testing to ensure data accuracy and security. Once validated, we deploy the solution with monitoring and support for seamless operations.
Why Global Enterprises Trust Us for Data-Driven Results
50+
Data & cloud certified experts
200+
Successful projects delivery
95%
Customer retention for the Data & AI services
20+
Years of data consulting and engineering
Our Capabilities for Data Engineering Consulting
Don’t Just Collect Data - Turn It into Impact with Our Data Engineering Services
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Tableau
PowerBI
Pentaho
D3.js
Highcharts
AWS
Microsoft Azure
Google Cloud
IBM Cloud
Apache NiFi
Tableau
Google Data Studio
Streamlit
PostgreSQL
MySQL
Snowflake
Amazon S3
Hadoop
Docker
Kubernetes
Terraform
Our Data & AI Experts
Øyvind Forsbak
CEO and Co-Founder
Øyvind Forsbak leads a dedicated team of 350+ specialists, spearheading growth, and innovation across Orient Software’s Cloud Data & AI solutions. Under his leadership, cutting-edge advancements in AI & data engineering and intelligent process automation unlock data-driven insights and accelerate digital transformation for clients worldwide.
Dr. Son Nguyen
CTO of Orient Software
With a PhD in Computer Science and over 15 years of experience in machine learning, deep learning, and big data, Dr. Son Nguyen is a leading voice in the application of AI to solve real-world challenges. He drives sustainability through Data & AI innovation—paired with a shift in organizational culture.
Vu Dinh Nguyen
Business Intelligence Lead
With nearly 10 years of experience in data analytics and strategy, Vu helps transform raw data into actionable insights that drive business performance. He also leads the data platform teams to implement scalable data solutions, helping organizations optimize operations and uncover growth opportunities.
Build Smarter Data Infrastructure Today!
Don’t let outdated systems limit your potential! Modernize your data stack for speed, agility, and insight.
20
Years in operation
100
Global clients
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Company
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Frequently Asked Questions (FAQs)
What is Data Engineering, and Why Does My Business Need It?
Data engineering is the practice of designing, building, and maintaining infrastructure that enables businesses to collect, store, process, and access data efficiently. It involves creating data pipelines, integrating sources, and transforming raw data into clean, usable formats for analytics, reporting, and machine learning.
Data engineering is essential since it helps turn raw data into valuable insights, forming the foundation of all data-driven operations. With strong data engineering, your business can:
- Gain real-time, trustworthy insights
- Eliminate data silos across departments
- Support advanced analytics and machine learning
- Improve operational efficiency
- Scale your data systems as your business grows
Partnering with a reliable data engineering company ensures you get personalized services that optimize your workflows and deliver actionable insights.
What is the Difference Between Data Engineering and Data Science?
Data science is an interdisciplinary field that combines techniques from statistics, computer science, and applied sciences to analyze both structured and unstructured data. The goal is to extract meaningful insights, identify patterns, and support data-driven decision-making.
On the other hand, Data engineering focuses on building the infrastructure and pipelines that move, clean, and organize data from various sources. It ensures that data flows smoothly, is stored properly, and is readily available for analysis by data scientists and other stakeholders.
How Do You Secure Data and Privacy in Data Engineering?
At Orient Software, we safeguard your data by implementing industry-leading security practices and technologies to ensure your information remains protected
- Data Encryption: We encrypt all data both in transit and at rest, shielding it from unauthorized access and ensuring secure communication and storage.
- Access Controls: Strict role-based access controls are enforced to ensure that only authorized personnel can view or interact with sensitive information, reducing risk and reinforcing accountability.
- Regulatory Compliance: We stay fully aligned with major data protection standards, including GDPR, CCPA, and other global regulations, to keep your systems compliant and your customers’ trust intact.
- Monitoring & Auditing: Using advanced monitoring tools, we continuously track data access and activity. Regular audits and security assessments help us detect vulnerabilities early and maintain a proactive defense posture.
How Do Your Data Engineering Solutions Support Scalability?
At Orient Software, we safeguard your data by implementing industry-leading security practices and technologies to ensure your information remains protected
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