Data Engineering services for business growth
Data Engineering Services
Your data should not be a mess. Leave broken pipelines behind and build a modern data architecture your business can trust. With Lumitech, your data engineering agency and partner in data decisions.
Turn Data Bottlenecks into Scalable Pipelines
An outdated and fragmented data architecture is not just a technical inconvenience. It slows down insights, creates friction between teams, increases support costs, and blocks growth when the business needs fast solutions. As a result, companies are forced to rely on incomplete or isolated data across different systems, which directly impacts the quality of analytics and growth rates. Lumitech provides proven data engineering services. Our engineers act not just as tech experts but as transformation architects, turning chaotic pipelines and disparate sources into a coherent, scalable system that consistently delivers clean, relevant data for analytics, AI integration, and fast business decisions.
Before
- Data scattered across systems
- Manual ETL and outdated scripts
- Slow, unreliable reports
- Rising cloud costs
- Poor data quality & governance
Lumitech Value Proposion:
- Unified data pipelines with automated orchestration
- Near real-time or real-time data flows
- Data warehouse with precise, validated, and accurate data
- Enhanced data security for data loss prevention
- Optimized cloud resources and lower costs
Measurable Outcomes with Our Data Engineering Solutions
We provide data engineering services & solutions, building data infrastructure to help you achieve measurable business results. Our approach enables us to transform data operations from a cost center into a strategic asset that drives speed, efficiency, and trust in decision-making.
Faster access to insights – up to 10×
Optimized and automated pipelines shorten the path from raw data to ready-made insights several times. Analytical and business teams no longer wait days for reports: data is available almost in real time, which directly affects decision-making speed.
Significant cost optimization – up to 40%
Modernizing the data stack, eliminating duplicate processes, and optimizing cloud resources can significantly reduce data processing costs. As a result, the total cost of ownership of the infrastructure decreases without losing performance.
Data reliability and accuracy – 99%+
Built-in approaches to data quality and governance ensure consistent data accuracy, enabling analytics to be trusted across teams and preventing unreliable and low-quality data from hindering management decisions.
Let’s build a scalable data foundation for your business
Covering Every Layer of Your Data Infrastructure
Within our data engineering services, we cover the entire data lifecycle, from architecture design and source integration to analytics and BI. Our goal is to build a reliable, scalable data infrastructure where each layer works in harmony and delivers business value.
Data Architecture Design
These data engineering services and solutions are best suited for businesses starting from scratch, having an unscalable current system, or planning to migrate to the cloud. We design a strategic blueprint for a modern data platform that accounts for growth, security, and future integrations.
ETL / ELT Pipeline Development
This is your choice if you need to partner with a data engineering company to automate data flow from multiple sources. Our teams provide data engineering consulting services, build reliable, observable, and efficient pipelines to collect, cleanse, and transform data for analytics and AI.
Data Warehousing
Suitable for cases where a company looks for a data engineering services company and needs a single source of truth for structured analytics. We implement and optimize cloud DWH solutions (Snowflake, BigQuery, Redshift) to ensure queries run quickly and consistently.
Data Lake Implementation
Used when you need to store and analyze large amounts of raw or unstructured data, such as logs or IoT. We offer big data engineering services in our portfolio, including building a data lake as a foundation for cost-optimized, large-scale analytics, AI, and machine learning.
Data Quality & Governance
This is critical when the numbers don’t add up, and data is hard to trust. Implementing approaches and tools that ensure accuracy, consistency, security, and compliance (e.g., GDPR) throughout the entire data journey is another data engineering service by Lumitech.
Cloud Migration & Optimization
When on-premise solutions become slow, expensive, or too rigid to change, we migrate legacy data infrastructure to the cloud and optimize it for performance, scalability, and cost control. This is one of the most critical data engineering consultancy and development services by Lumitech.
From sources to BI, with a partner who owns the outcome
Our Proven DataOps Process
We work with a proven agile DataOps approach to deliver value quickly and build data solutions that easily adapt to business changes. The process is transparent, managed, and results-oriented, from the first audit to stable operation in production.
Discovery & Audit
We start with a deep understanding of business goals and a detailed audit of current data and infrastructure. We analyze data sources, pipelines, and key pain points; describe data flows; and identify growth and optimization opportunities.
Architecture & Design
Based on the audit, we design a scalable, future-proof data architecture and technical roadmap. We select the optimal stack and approach, from data warehouse or lakehouse to batch or streaming processing, based on the business’s real needs.
Agile Development & CI/CD
Being a trusted data engineering consultancy, we implement data pipelines and platforms iteratively, in short sprints. We implement CI/CD for data so that code is automatically tested and deployed, ensuring stability and speed of change.
Quality & Governance Integration
We build data quality checks and governance rules directly into pipelines. Data is validated from the moment it enters the system, ensuring accuracy, consistency, and security.
Deployment, Optimization & Handover
After launch, we set up monitoring, optimize performance, and control costs. The final stage is documentation and handover of the solution to the client’s team to ensure stable operation and long-term success.
CUSTOMER STORIES
Latest Tech Expertise to Develop Data Engineering Solutions
The Tools Behind Reliable Data Engineering Services
At Lumitech’s data engineering consultancy, we work with a modern data stack and approach technology selection without being tied to specific vendors. This allows us to select solutions that best meet the business objectives, scale, and requirements of each project. Transparency in technology is part of our vision to building trust with our clients’ technical teams.
Compute & Data Platforms
We build computing layers and platforms that can process large amounts of data and scale with the business: Spark, Databricks, Flink, BigQuery, Snowflake, Synapse.
Orchestration
To manage pipelines and complex workflows, we use orchestration tools that ensure stability and execution control: Airflow, Prefect, and Dagster.
Data Modeling
We model data so that analytics are understandable, manageable, and scalable: dbt, SQLMesh.
Streaming
We implement data processing in real or near real time for event-driven and high-load scenarios: Kafka, Kinesis, Pub/Sub.
Data Quality & Observability
We build quality control and observability directly into data pipelines so that data issues are detected before they impact the business: Great Expectations, Monte Carlo, OpenLineage.
Infrastructure & DevOps
We automate infrastructure, deployment, and changes using Infrastructure-as-Code and CI/CD principles: Terraform, GitHub Actions, Argo, Helm.
BI & Visualization
We help deliver data to end users through understandable analytics and dashboards: Looker, Power BI, Tableau, Mode.
Why Choose Us, Your Trusted Data Engineering Agency
We don’t just build data pipelines – we create a solid foundation for data engineering solutions, their scaling, and business growth. Our approach combines deep engineering expertise, a modern stack, and a results-driven focus. Here are the significant benefits of partnering with Lumitech, a data engineering service provider.
Experienced Data Engineers & Cloud Architects
Our team consists of senior-level data engineers and cloud architects with deep, practical expertise in building modern data platforms. Specialists are certified in technologies such as Databricks, Snowflake, AWS, and GCP, and have a good understanding of the requirements of enterprise environments. This means you get not just performers, but a team capable of designing, implementing, and supporting complex systems that run stably in production and scale well.
Focus on Business Outcomes, Not Just Data Engineering Services
Automation & Efficiency at the Core of Data Engineering Solutions
Agnostic & Modern Stack Expertise
Data Quality & Governance Built-In
Stop fighting your data. Start trusting it.
Most of our clients are based in the US because of the tight business connections between the US and Eastern Europe. Additionally, the Middle East, especially Saudi Arabia and the UAE, is becoming another key region for us.
Related Services
Data Science
We develop and implement ML models to predict demand, customer churn, risks, and revenue. Our teams also build recommendation systems and enable personalization. A separate area is anomaly and fraud detection, user behavior analysis, and deep analytics to find insights. Another important part is MLOps: integrating models into production, monitoring quality, and regularly updating models so that they consistently deliver results.
Data Analytics Services
We help to structure data and transform it into understandable insights for business. This includes building analytical models, dashboards, and reports that provide a single source of truth for teams and management. The focus is on quick access to relevant metrics, analyzing process efficiency, and supporting data-driven decision-making. As a result, analytics becomes not just reporting, but a working tool for growth and optimization.
Cloud & Infrastructure
The company helps design, implement, and optimize cloud infrastructure for business needs. This includes migrating from on-premises solutions to the cloud, configuring scalable, secure environments, and automating infrastructure using Infrastructure-as-Code principles. A separate focus is on optimizing costs, performance, and reliability to ensure the infrastructure supports business growth without unnecessary risks or costs.
Our partners
Quality of Our Custom Software Company Is Proven By Our Partners
Our partners include companies from the Inc. 5000 and Europe's 1000 Fastest-Growing Companies
Our partners include companies from the Inc. 5000 and Europe's 1000 Fastest-Growing Companies
Good To Know
How do data engineering services help companies become more data-driven?
How much do data engineering services cost?
Do you provide ongoing support and maintenance for data pipelines?
How do data engineering services support machine learning and AI initiatives?
What industries benefit most from professional data engineering services?
Ready to bring your idea into reality?
- 1. We'll carefully analyze your request and prepare a preliminary estimate.
- 2. We'll meet virtually or in Dubai to discuss your needs, answer questions, and align on next steps.
Prefer a direct line to our CEO?
Prefer a direct line to our CEO?