SERVICES
Data Engineering Services
Modern organisations produce more data than they actually need to work with. The absence of defined pipelines together with dependable storage systems prevents organizations from accessing their valuable insights which forces decision-makers to base their choices on insufficient information.
Our data engineering services convert raw data streams into usable information which users need to establish trustworthiness. The platform provides users with instant answers to their questions because it runs on automated technology which retrieves data and checks for errors.
Our Data Engineering Services
Our company delivers full service delivery which starts by receiving data before it proceeds to analytical processing stages. Your business goals will become reachable through the service delivery system which functions within your current technology infrastructure.
We review your current pipelines, storage, and governance processes to pinpoint bottlenecks and quick wins. Consultants provide guidance on architecture and offer a roadmap for improvement.
Large volumes require distributed processing. Our engineers build cloud‑native data lakes and processing frameworks using tools like Spark and Kafka to handle high throughput and concurrency.
Disparate systems slow down analytics. The engineering team at our company develops cloud-native data lakes and processing frameworks through Spark and Kafka implementation to achieve high performance data processing at scale.
The value of data analysis depends on having information which exists in a structured and uncluttered format. The team develops semantic layers and metrics stores and dashboards which allow teams to access data through basic search functions instead of needing to write complicated queries.
Machine learning teams require pipelines to execute with reproducible results. Our team established environments and feature stores and experiment tracking systems which enable model deployment from notebooks to production environments.
The legacy warehouse system along with separate tooling systems prevent businesses from expanding their operations. Our team provides cloud migration support and performance tuning and governance improvements to maintain platform reliability during increasing usage.
Who Our Data Engineering Services Are For
Our Data Engineering Services are built for CTOs and engineering leaders who need to align data infrastructure with the product roadmap, compliance requirements, and budget.
They also support data managers, product and analytics teams, and enterprises with complex ecosystems by accelerating access to accurate datasets while consolidating legacy systems and reducing fragmentation.
Client Challenges We Solve
Poor data quality hurts every business. Research shows that bad data can cost companies 15–25 % of revenue. Here are common issues our data engineering addresses:
Data silos. Teams cannot share information across systems, leading to conflicting reports.
Unstable pipelines. Manual scripts fail quietly, creating unreliable data flows.
Slow analytics. Analysts spend days preparing data instead of delivering insights.
Poor data quality. Missing or inconsistent values degrade model performance and decision‑making.
Scaling issues. Traditional warehouses cannot handle growing data volumes or user concurrency.
Our DevOps Team
If you’re looking to hire full stack developer talent, our team offers experienced professionals skilled in front-end and back-end technologies for seamless project execution. With years of experience and a proven track record, our team ensures seamless integration, automation, and optimization of your development and operations processes.
Engagement Models
Choosing the right cooperation model depends on your timeline and scope.
Engineers join your team as dedicated capacity, full-time or part-time. This model fits multi-month roadmaps, shifting priorities, and steady knowledge sharing.
A defined scope with agreed milestones and acceptance criteria. A good choice for audits, proofs of concept, targeted improvements, and tightly scoped deliveries.
Flexible scope with clear, itemized billing for time and cloud usage. The system operates at its best when users need to find information and they must handle content that needs periodic updates and multiple assessment processes.
Your data holds value which you can now access. Talk to our experts and start building a reliable pipeline today.
Our DevOps Approach
The standard DevOps project work at our company consists of four distinct stages:
Real Results: Media Platform Data Pipeline Transformation
Client challenge:
A large media platform relied on batch jobs that often failed without alerts. Data arrived late, and business reports stayed out of date, which slowed decision-making.
Our approach:
- Ran a one-month assessment to find pipeline gaps and failure points - Built a streaming ingestion pipeline using Apache Kafka and Snowflake - Added automated data quality tests to catch issues early
Results:
Reduced data delivery time from 24 hours to under 10 minute.
Eliminated 80% of manual data correction work
Enabled near real-time dashboards for faster, more confident decisions
Ready to unlock the value of your data? Talk to our experts and start building a reliable pipeline today.
Tools and Technologies
The toolkit provides complete data lifecycle management starting from data ingestion until it reaches the reporting stage. Our organization uses AWS and Azure and Google Cloud and Snowflake and Delta Lake for cloud and storage services to achieve both scalability and secure data management.
The system operates with Spark and Kafka and Flink for executing distributed workloads and streaming pipelines. The two tools Airflow and Dagster enable orchestration through their ability to schedule jobs and manage workflows while maintaining defined ownership structures.
For transformation and modeling, dbt and Dataform keep SQL changes clean and maintainable. For quality and observability, Great Expectations and Monte Carlo help detect issues early and send alerts. For governance, Data Catalogs and Apache Atlas support metadata and lineage. For programming, Python, SQL, and Scala power pipelines and analytics.
These tools form the backbone of our delivery. We choose what fits your existing stack and integrate with your favourite platforms.
Industries
At AppRecode, we collaborate with a diverse range of industries to deliver tailored digital solutions that solve real-world challenges. From mobility and travel to healthcare, fintech, e-commerce, and beyond — we bring deep expertise and a flexible approach to every project. Whether you’re a startup or an enterprise, we help you move faster, scale smarter, and build with impact.
Telecom
AutomotiveTransportation and Logistics
Retail
Finance
Security
Healthcare
Business management
InsuranceWhy Choose Us as a Data Engineering Company
Holistic view. We consider data, code, and infrastructure together rather than in silos.
Transparency. You get versioned code, detailed documentation, and clear ownership maps.
Business alignment. We prioritise use cases that drive revenue or reduce cost.
Proven track record. Our consultants have delivered at scale for startups and enterprises.
Flexibility. We adapt to your toolchain, whether you prefer open source or managed services.
Reviews
4.4
Our decision to work with AppRecode was based on their understanding of our industry, the depth of their technical capabilities, and a real commitment to building a true partnership model. We believe that the AppRecode`s team is ready to go the extra mile for us to help us achieve our goals and expand our business globally.
Dr Liam Terblanche
Founding member of Scriversi
CTO/CIO of other companies in the ICT space
4.0
Working with Apprecode was a great experience. They provided a professional and efficient service and created individual decision.
We are happy with the AWS solution. Every feature was given attention to make sure it worked as required.
We recommend Apprecode and look forward to continued cooperation.
Alex Should
Manager of “REW” company
5.0
I’ve had the pleasure of using Apprecode for cloud migration and management. They’re knowledgeable and professional, and their team is experienced. They go the extra mile and provide helpful advice and guidance. I’ve had a great experience with Apprecode and recommend their services.
Austin Copeland
Director of Finance and Operations at REW Technology
5.0
The DevOps services provided by Apprecode are comprehensive and cover all aspects of a project, from planning to deployment. They worked closely with me to assess my needs and develop a strategy to best address them. The team was able to quickly create a deployment plan that was tailored to my specific requirements.
Bob Whirley
Utopic Software
4.0
I’m extremely satisfied with Apprecode’s DevOps services. Their team was knowledgeable, and professional and gave prompt feedback. I recommend them for any project.
Michael Lazor
CEO of “SPSoft” Company
4.0
AppRecode has been instrumental in helping us build community-driven solutions and generate ideas for future products. Their team is highly responsive and professional, and most members are certified in at least one cloud platform. Working with AppRecode has been a seamless experience, and their expertise in DevOps as a Service has significantly contributed to the progress of our project. We recommend Apprecode and look forward to continued cooperation.
Dmitry Fonarev
CEO and Founder of “Kubeshop” Company
Let’s build the data foundation your business deserves. Talk to our experts and get a free assessment.
Case Studies
FAQ
The service portfolio includes consulting services together with architecture design and pipeline implementation and data integration and analytics engineering and data science support and governance and continuous operational management.
Data engineering focuses on building and maintaining pipelines, storage, and quality — and our data engineering consultants help design and improve these foundations so teams can trust the data they use. That prepared information is then analyzed through analytics to generate insights, delivered via queries, dashboards, and models.
Yes. We offer short assessments and strategic advising as a standalone service or as a precursor to implementation.
It depends on the scope. A targeted improvement might take a few weeks; a full platform build can span several months, delivering incremental value along the way.
Rate Apprecode as Your Partner
7 ratings, average 4.9 out of 5
