Turn Insight Into Income With Data Engineering

Evolve your business from data-aware to data-driven
Driving exceptional results for these companies:

Data is the oil of the 21st century

Gain deep insights into products, customer behaviour, and business processes

Quick explainer

Upgrading your data solution

We’ll help you to upgrade legacy data processing technology to optimize costs and improve system scalability.

AI/ML enabling existing product

Innovating your data processing approach with AI/ML technologies to meet your evolving business needs with automation and speed.

Scaling your business safely

With the right data engineering tools, you can effortlessly handle growing data volumes and user demands. Your business can expand its data infrastructure without sacrificing performance or stability.

Optimizing costs

By streamlining workflows and eliminating inefficiencies, your organization can reduce infrastructure expenses and maximize the value of your datasets.

Powering your business decisions

Your business can iterate over metrics and reporting much faster. Let us assist you in upgrading or building your data analytics stack.

Start building

Fuel businesses with data solutions across industries

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FinTech

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Renewable Energy

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BioTech

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EdTech

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HealthCare

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Entertainment

Data services we provide

1
Data engineering consulting services
  • Data quality assessment
  • Data strategy development
  • Data infrastructure refinement
  • Evaluation of data governance and security procedures
2
Data architecture services
  • Elicitation of functional and non-functional requirements
  • Data structure development based on business needs
  • Selection of an optimal architectural framework
3
ETL/ELT services
  • Custom ETL workflow development
  • Scheduling and orchestration of ETL jobs
  • ETL performance optimization
  • Data cleaning, validation, and enrichment
4
Data pipeline services
  • Custom data pipeline development
  • Scheduling and orchestration of pipeline jobs
  • Real-time data streaming pipelines
  • CI/CD for data pipelines
  • Pipeline monitoring and troubleshooting
  • Pipeline integration with BI tools
  • Pipeline scaling for big data
5
Data storage services
  • Data warehousing
  • Data lake design, implementation, and management
  • Data mart creation and management
6
On-premises to cloud data migration
  • Migration to Google Cloud
  • Migration to AWS
  • Migration to Azure
7
Data integration services
  • API integration
  • Legacy system integration
  • Real-time data streaming integration
8
Data modeling services
  • Data warehouse modeling
  • Multi-dimensional/OLAP modeling
  • Document/NoSQL data modeling
  • Model optimization and refinement
  • Model documentation and metadata management
9
Database services
  • Database design and modeling
  • Database monitoring, optimization, and maintenance
  • Data migration between databases
  • On-premises or cloud database deployment
  • Data backup and recovery procedures

From idea to MVP execution within 24 hours

Project stages and flow

Our priority is developing a data engineering solution that will boost your business, no matter when it integrates — pre or post product release

Technology we use

Category
1
Cloud Platforms
2
Open Source Tools
3
Data Integration Tools
4
Data Storage and Analytics Solutions
5
BI Tools
6
Machine Learning Libraries
7
Data Science Tools
Tech Stack:
GCP
Microsoft Azure
AWS
3
Presto
Superset
Flink
NiFi
HBase
Beam
Hive
Spark
Hadoop
Airflow
Kafka
Cassandra
12
Oracle Data Integrator
Azure Data Factory
Fivetran
Airflow
Airbyte
5
Azure Data Lake Storage
Azure Synapse Analytics
Snowflake
BigQuery
4
Qlik Sense
QlikView
QuickSight
Looker
Tableau
Power BI
6
OpenCV
scikit-learn
Caffe
SciPy
Keras
PyTorch
TensorFlow
7
Plotly
Seaborn
Matplotlib
NumPy
Pandas
5

Businesses get over an 11% profitability boost from their investments in data and analytics

Empower decision-making with clear analytics

Our achievements

Category
Award
Country
Year
Clutch
Top software developers
Kazakhstan
2024
Top software developers
Kazakhstan
2024
Clutch
Top software developers
Warsaw
2024
Top software developers
Warsaw
2024
Clutch
Top software developers
Latin America
2024
Top software developers
Latin America
2024
Clutch
Top software developers
Kazakhstan
2024
Top software developers
Kazakhstan
2024

Let's jump on a quick call with data expert

Step 1/2 – please choose an option

Or email us: hello@kitrum.com
1

What is data engineering?

Data engineering involves crafting and maintaining systems that handle massive amounts of data, making it usable for analysis and decision-making.

2

What is a data engineering example?

Imagine building a system that gathers data from different sources, processes it into a standard format, and stores it in a way that makes it easy to analyze later. That’s data engineering in action.

3

What is data engineering in AI?

In AI, data engineering focuses on preparing data for machine learning models. It involves cleaning messy data, organizing it into useful formats, and ensuring it’s ready for training smart algorithms.

4

What are data management solutions?

Data management solutions are tools and setups that help companies manage their data smoothly. They include databases, data warehouses, and systems that keep everything organized, safe, and compliant.