Amazinum - Data Engineering Services
Transform Data into Strategic Insights and Drive Sustainable Growth
Transform Data into Strategic Insights and Drive Sustainable Growth
In the digital age, data is one of your most valuable assets. Amazinum’s Data Engineering Services empower your business to harness raw data, transform it into meaningful insights, and fuel data-driven decision-making. We provide robust data infrastructure, customized solutions, and comprehensive support to ensure your data becomes a true competitive advantage.
In the digital age, data is one of your most valuable assets. Amazinum’s Data Engineering Services empower your business to harness raw data, transform it into meaningful insights, and fuel data-driven decision-making. We provide robust data infrastructure, customized solutions, and comprehensive support to ensure your data becomes a true competitive advantage.
What is Data Engineering
Data Sets
Classification
Database
Statistics
Pre-processing
Analytics
Evaluation
Zippia research predicts that the data engineering job market will grow by 21% between 2018 and 2028.
Fior Markets reports that the global market for big data and data processing services is expected to grow from USD 32.45 billion in 2017 to USD 123.89 billion by 2025 at a CAGR of 18.2% during the forecast period 2018- 2025 years.
Data Engineering is
the process of data management, which means setting up certain mechanisms for collecting and storing data. This process structures all the data that will be used in the business. In this way, unstructured and messy data is transformed into organized information that can be used by Data Scientists in the future. In this case, the creation of ML models or data analysis directly depends on providing Data Engineering with an organized standard flow. Data can flow across teams and organizations.
Data Sets
Classification
Database
Statistics
Pre-processing
Analytics
Evaluation
Zippia research predicts that the data engineering job market will grow by 21% between 2018 and 2028.
Fior Markets reports that the global market for big data and data processing services is expected to grow from USD 32.45 billion in 2017 to USD 123.89 billion by 2025 at a CAGR of 18.2% during the forecast period 2018- 2025 years.
Data Engineering is
the process of data management, which means setting up certain mechanisms for collecting and storing data. This process structures all the data that will be used in the business. In this way, unstructured and messy data is transformed into organized information that can be used by Data Scientists in the future. In this case, the creation of ML models or data analysis directly depends on providing Data Engineering with an organized standard flow. Data can flow across teams and organizations.
Why Choose Amazinum’s Data Engineering Services?
01
End-to-End Data Solutions
From data integration and warehousing to advanced analytics and visualization, we cover every aspect of data engineering. Our solutions are tailored to your needs, ensuring your data is accessible, accurate, and actionable.
02
Data Security & Compliance
With Amazinum, you can trust that your data is managed securely and complies with regulatory requirements. We build data pipelines with encrypted storage, access control, and compliance standards, so you can focus on growth with peace of mind.
03
Future-Ready Infrastructure
We design data architectures built for scalability and long-term performance, ensuring that your data systems can grow with your business.
Don’t know where to start? Start with Amazinum Consultation
At Amazinum, every successful data engineering project begins with a thorough consultation. This step is critical to understanding your unique challenges, business goals, and data landscape.
Our experts work closely with your team to identify key pain points, define project objectives, and create a roadmap for achieving optimal results.
Data Engineering tools
Python
Apache Hadoop
Julia
Relational and Non-relational Databases
Apache Spark
Python
Apache Hadoop
Julia
Relational and Non-relational Databases
Apache Spark
We are experienced in Data Engineering tools:
Structured data can easily be stored in a relational database.
Semi- or unstructured data uses non-relational or NoSQL databases
SQL and NoSQL databases:
- MySQL
- Microsoft SQL Server
- PostgreSQL
- MariaDB
- MongoDB
- Firebase
- Elasticsearch
- Apache Cassandra
- Apache HBase
In-memory data stores
- Redis
- Memcached
- SAP HANA
- SingleStore
- Oracle TimesTen
Storage platforms are often used in big data development
Data warehousing solution:
- Google BigQuery
- Amazon Redshift
- Snowflake
- Vertica
- Azure Synapse Analytics
Workflow planning tools will help improve the data development process.
Automation and scheduling tools:
- Apache Airflow
- Luigi
- Apache Oozie
- Azkaban
Our Data Engineering Services
Batch Processing Solutions
Efficiently process large volumes of data with our Batch Processing Solutions. Designed for high performance and scalability, our solutions allow you to handle massive datasets in defined intervals, enabling better data analysis and storage management.
Big Data ETL Solutions
Transform your raw data into valuable insights with our Big Data Extract, Transform, Load (ETL) Solutions. Our ETL services allow you to consolidate and clean data from multiple sources, ensuring it’s ready for analysis and reporting.
Data Streaming Solutions
Harness the power of real-time data with Amazinum’s Data Streaming Solutions. Our services enable your business to process and analyze continuous data streams, ensuring immediate insights and faster decision-making.
Customer Data Engineering Experience Services
Enhancing customer experience is central to your business success. With our Customer Experience Services, we help you leverage data insights to better understand, engage, and retain your customers. By capturing real-time customer data, identifying trends, and personalizing interactions, we enable you to create an unforgettable customer journey.
Enhancing customer experience is central to your business success. With our Customer Experience Services, we help you leverage data insights to better understand, engage, and retain your customers. By capturing real-time customer data, identifying trends, and personalizing interactions, we enable you to create an unforgettable customer journey.
Key Features of Customer Experience Services:
Customer Data Integration
Gather and unify data from all touchpoints to build a 360° view of your customers.
Personalized Engagement
Use insights to create tailored interactions that meet customer preferences and needs.
Sentiment Analysis
Understand customer emotions and behaviors to improve products and services.
Omnichannel Support
Deliver consistent, high-quality experiences across platforms—web, mobile, and in-store.
Customer Data
Integration
Gather and unify data from all touchpoints to build a 360° view of your customers.
Personalized
Engagement
Use insights to create tailored interactions that meet customer preferences and needs.
Sentiment
Analysis
Understand customer emotions and behaviors to improve products and services.
Omnichannel
Support
Deliver consistent, high-quality experiences across platforms—web, mobile, and in-store.
Result:
Increased customer satisfaction, loyalty, and lifetime value through data-driven, personalized experiences.
Choose the Right Fit for Your Business Needs
We offer flexible collaboration models to meet you where you are on your AI and data journey. Whether you need expert advice, hands-on learning, or full-scale development, we’ve got you covered.
Consultation
Expert insights, strategic advice, and a roadmap
Discovery Workshop
Your First Step to Smarter Solutions
Proof of Concept (PoC)
A working prototype, key metrics, and feasibility assessment
Full AI, Data, and Cloud Solutions Development
Full-cycle development, seamless integration, and ongoing support
Outstaffing / Staff Augmentation
Access to AI/ML experts, flexible scaling, ongoing management
Consultation
Expert insights, strategic advice, and a roadmap
Discovery Workshop
Your First Step to Smarter Solutions
Proof of Concept (PoC)
A working prototype, key metrics, and feasibility assessment
Full AI, Data, and Cloud Solutions Development
Full-cycle development, seamless integration, and ongoing support
Outstaffing / Staff Augmentation
Access to AI/ML experts, flexible scaling, ongoing management
Transform Your Customer Experience with Data
Holistic View of Data for Business Transformation
At Amazinum, we believe in a Holistic Approach to data engineering
We don’t just build data pipelines; we create an interconnected data ecosystem that supports your entire organization. By integrating data from all touchpoints, we provide a unified view of performance and insights across departments.
Result
With this holistic approach, your organization can make aligned, data-driven decisions that drive growth and foster innovation.
Amazinum’s Approach to Data Engineering
Our holistic, customer-centered approach ensures that your data ecosystem is robust, scalable, and aligned with your strategic goals.
1
Discovery & Needs Assessment
We start with an in-depth discovery phase, analyzing your data environment, business objectives, and existing challenges. This comprehensive understanding allows us to design a data solution that fits seamlessly into your organization.
2
Holistic Solution Design
Based on our assessment, we design a data engineering roadmap that considers your entire organization. By integrating data from all departments, we ensure you get a complete picture of your operations, performance, and customer interactions.
3
Implementation & Integration
Our experts build and integrate data pipelines that ensure smooth data flow and accessibility across all systems. We handle every detail, minimizing disruptions and ensuring a seamless integration with your existing infrastructure.
4
Testing & Quality Assurance
We rigorously test your data system to ensure accuracy, security, and performance. Our quality assurance process validates every component for optimal efficiency.
5
Ongoing Support & Optimization
We provide continuous support to keep your data system running at peak performance. As your business grows, our team is there to ensure your data infrastructure scales effortlessly, delivering long-term value.
Start Your Data Engineering Journey with Amazinum
Start Your Data Engineering Journey with Amazinum
How Amazinum’s Data Engineering Benefits Your Business
Reduce manual data management with automated workflows, freeing up time for strategic initiatives.
Ensure that your data is easy to access, reliable, and available to support decision-making across teams.
Protect sensitive data with comprehensive security protocols and compliance controls.
Scale your data infrastructure seamlessly as your business grows, adapting to new challenges and opportunities.
Empower your team with insights derived from clean, structured data to make faster, more informed business decisions.
Reduce manual data management with automated workflows, freeing up time for strategic initiatives.
Accessibility
Ensure that your data is easy to access, reliable, and available to support decision-making across teams.
& Compliance
Protect sensitive data with comprehensive security protocols and compliance controls.
Scale your data infrastructure seamlessly as your business grows, adapting to new challenges and opportunities.
Decision-Making
Empower your team with insights derived from clean, structured data to make faster, more informed business decisions.
Use Cases: Real-World Impact of Data Engineering Services
Retail & E-commerce
01
Customer Data Integration & Personalization
Retailers struggle to consolidate data from multiple sources to create personalized customer experiences. Amazinum implemented a centralized data warehouse and real-time analytics to provide a unified view of customer behavior.
Result
Increased sales, improved customer satisfaction, and better inventory management with data-driven personalization.
Financial Services
02
Risk Analysis & Compliance
Financial institutions require robust data frameworks to conduct risk analysis and ensure compliance with regulatory standards. We designed a secure data architecture with integrated risk assessment models, enabling faster, more accurate decision-making.
Result
Reduced compliance risk, improved data transparency, and streamlined regulatory reporting.
Healthcare
03
Real-Time Data for Patient Management
Healthcare providers need real-time access to patient data for effective decision-making and improved care. Amazinum built a real-time data processing system that consolidates patient data across locations and devices.
Result
Enhanced patient care, reduced wait times, and improved data accessibility across the healthcare network.
Take the Next Step with a Consultation
Ready to transform your data into a strategic asset?
Contact Amazinum today for a complimentary consultation with our data engineering experts. We’ll discuss your business goals, assess your current data environment, and provide insights into how we can build a robust, future-ready data solution tailored to your needs.
FAQ
Data engineering involves designing, building, and optimizing systems that collect, store, and analyze large volumes of data. It’s essential for businesses that want to leverage data for insights, decision-making, and creating competitive advantages. Without a strong data engineering foundation, accessing reliable, actionable data can be challenging.
Data engineering enables streamlined data processes, ensuring that data is clean, accurate, and accessible in real-time. This improves decision-making, enhances operational efficiency, and supports advanced analytics like predictive and prescriptive modeling. For example, it can help automate reporting, optimize supply chains, or personalize customer experiences.
Data engineering is critical across industries like retail, healthcare, finance, manufacturing, e-commerce, and logistics. Any organization relying on data to improve operations, customer insights, or decision-making can benefit from robust data engineering practices.
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
Contact Us
UKRAINE
ESTONIA
Amazinum OÜ
Registry Code: 16893164
