Stabilizing and Scaling Spobik
Turning a slow e-commerce site into a fast, secure revenue-generating platform
Key Results:
- 6x faster load time (600 ms → 38 ms)
- Updates for 500,000+ items in ~10 min
- Largest Contentful Paint: 0.24 seconds
Data Engineering Services That Move, Store, and Validate Your Data
Every company reaches the point where the numbers live in too many places and no export reconciles with another. Forbytes builds the layer underneath your reporting: pipelines that move data on schedule, a warehouse that holds it, and validation that catches problems before they reach a dashboard.
When You Need Data Engineering
- Analysts spend more time assembling data than using it for insight-generation
- Two departments present two different numbers for the same metric
- Data volume grew past what your current setup was designed for
- Your database slows down every time someone runs a heavy report
- Nobody can trace where a number in a dashboard actually came from
- AI and analytics projects stall because the underlying data is not usable
Results You Can Achieve with Data Engineering Services
| Data Engineering Benefit | Business Impact |
|---|---|
| Automated ETL and ELT pipelines | Data arrives on schedule without anyone assembling it |
| Central data warehouse or lake | One place to query instead of five exports |
| Data quality rules and validation | Bad records get caught at ingestion, not in a board report |
| Separated analytics workload | Heavy queries stop competing with your production database |
| Documented data lineage | Every number in a report traces back to its source |
| AI-ready data foundation | Analytics and machine learning projects start with usable inputs |
Our Focus Industries
Real Client Results
Modernizing Guesty’s Legacy System
Modernizing the legacy system to improve performance and efficiency
Key Results:
- Enhanced stability and test coverage
- Outdated code removed
- Accelerated feature delivery
Expanding Owners Portal
Adding new features to the portal to meet property managers and owners needs
Key Results:
- 2 major features added
- 50% improvement in data visibility
- 100% IRS 1099 compliance
Mobile App Development
Rebuilding architecture and accelerating feature delivery for the mobile app
Key Results:
- 20,000 users of the mobile app
- 3x faster feature delivery
- 80% fewer support tickets
Third-Party Integrations
Integrating WMSs, a payment solution, and the Microsoft Dynamics NAV ERP
Key Results:
- 3 system integrations completed
- 100% financial data sync daily
- 100% real-time stock updates
Our Data Engineering Process
Data AnalysisMapping your sources, volumes, refresh rates, owners, and the quality problems already present.
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#2
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Pipeline DevelopmentBuilding ETL and ELT flows, connectors, and transformation logic against mapping rules.
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#4
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Reporting Layer SetupConnecting BI tools, defining metrics once, and setting access rules by role.
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#6
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#1
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Architecture & Storage DesignChoosing the warehouse or lake model, the storage layers, and how the data gets structured.
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#3
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Quality Assurance & TestingAdding validation, deduplication, & error handling and testing the solution.
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#5
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Monitoring & OptimizationTracking pipeline health, query performance, and storage cost after the platform goes live.
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A Platform Built for Your Team to Own
Architecture, transformation logic, and a runbook come with the build
Metric definitions live in one place, so every department reads the same number
We build on data engineering tools your team can rely on and maintain
Bring Your Worst Report to Us and See What It Takes to Automate It
Contact Us
FAQ
What do data engineering services include?
Data engineering covers everything between your source systems and the reports your team reads: pipeline development, data warehouse and data lake design, migration from legacy storage, integration between systems, data quality and validation rules, and the reporting layer on top. Specific engagements often focus on one of these, and Forbytes runs each as a separate service with its own scope: data migration, data integration, data warehouse services, and business intelligence and analytics.
Do we need a data warehouse, or can we report from our production database?
Reporting from production works until it stops working, usually when a heavy query slows down the application your customers use. A warehouse becomes worth building when you need history that production purges, when several systems have to combine in one report, or when analysts need access you cannot safely give them in production. The assessment stage answers this for your case, and a warehouse is not always the answer.
Which platforms and tools do you work with?
We build on Microsoft Azure, AWS, and Google Cloud, including BigQuery, and we work with on-premises and hybrid setups where a full cloud move is not on the table. Pipelines run with managed cloud services or custom ETL and ELT code, depending on your volume, budget, and who maintains the system afterwards.
Can you work with our existing data team?
Yes, we can. A common split is that Forbytes builds the platform and the pipelines while your analysts keep owning the metrics and the reports. We document the architecture, the transformation logic, and the operational runbook so your team can run and extend it. Where you plan to hire in-house later, we build with that handover in mind from the start.
Do we need data engineering before starting an AI project?
Usually, yes. Most stalled AI projects fail on data rather than on models: inputs are incomplete, inconsistent, or scattered across systems that never agreed on a customer ID. A short data readiness assessment answers whether your AI use case is buildable now, what would need fixing first, and what that costs. That answer is worth having before anyone budgets for the model.
Let's Get in Touch
Forbytes created an app that allowed users to quickly measure themselves to be fitted for custom shirts. As a result, we could increase our speed, quality, and shirt output per week. Forbytes was dedicated to delivering a solution that accurately addressed our needs.
Forbytes’ engineers and team leads worked as part of our RnD group and were directly managed by our company directors. They were both proactive and adaptable, qualities that perfectly match our needs in our fast-growing and constantly evolving environment.
Forbytes has a strong process-oriented way of leading the company, with good respect for themselves and their managers. They made a choice not to become too big but build slowly on more qualified people, which is paying off.
Niklas Hammar
COO & Business
Development at Offerta.se
Our e-commerce site saw online inquiries and orders rise after working with Forbytes. The team used top-notch expertise to inform their suggestions and improvements. Constant communication, quick responses, and prompt delivery made for a smooth and enjoyable collaboration.
The Forbytes team was very professional and demonstrated a great understanding of the business aspects. All tasks were completed above expectations. Their experts were always available, and we never needed to wait for a response or a suggested solution.
