Why Data Engineering?
Data engineering helps businesses to unlock the value of data in case they have collected volumes of unstructured and structured data but have no idea how to put them into practice. Consider leveraging our data engineering consulting services to turn your data into actionable insights and drive business growth.
Data visualization and analytics allow businesses to get a better understanding of their data, identify patterns, explore relationships, and spot errors if any. These small things can lead to big discoveries, unlocking new customer and market insights.
With data management, companies improve data transparency and get an inside look into data collection and processing. In the long run, this builds trust in data, coming from different sources but presented in a format easy to see and manage.
Take a glimpse into the future with predictive analytics. By using data to make predictions and generate recommendations, businesses can eliminate risks when launching new products, assess the demand, and find new revenue opportunities.
Working side by side with a data engineering consulting firm, you can make informed decisions based on trends and do it quickly before the competitors intervene. Higher speed of data-driven decision-making also generates better efficiency.
By building flexible and scalable infrastructure, companies meet their needs without going beyond the budget. Cost optimization for data storage and processing adds to cost control while maximizing value with waste reduction and growth opportunities.
Data Engineering Consulting Services We Provide
Data Strategy Consulting
- Building a data strategy from scratch
- Data strategy assessment, refinement, and implementation
- Data management strategy
- Data architecture strategy
Data Pipeline Architecture
- Developing end-to-end automated data pipelines
- Data ingestion and transformation
- Setting up data monitoring systems for automated reporting
Data Lakes and Warehousing
- Creating data lake and data warehouse architecture
- Modernizing data lakes and data warehouses
- Database and data warehouse optimization
Real-time and Batch Processing
- Distributed real-time data processing
- Processing large volumes of data
- Implementing cloud data services
Data Management
- Data organization and storage
- Optimizing cloud data management costs
- Database performance tuning
- Enhancement of data security
- Data migration and backup
Data Science and Insights
- Designing advanced data analytics and visualization systems
- Building AI-based predictive analytics solutions
- AI/ML solutions development
- Enabling data-driven decision-making
Find Our Projects Here
What Our Customers Say
Intelliarts’ work is amazing. Thanks to their help, we’ve been able to process hundreds of terabytes of data per day. We’ve definitely seen an increase in our revenue since we started working with them.
Jawad Laraqui
CEO @DDMR
Intelliarts delivered tech consulting services to release the second version of a baby monitoring application. We:
- Made the app more stable, and sustainable
- Solved the problem of product non-scalability
- Increased the rating from 3 to 4.5 stars on App Store and Google Play
- Added night vision, sharing feature, and access levels
They treat everyone with respect and instill the sense of ownership into their developers, which is the quality we value the most in our internal and external developers.
Eleonora Ludin
Director of Engineering @HubSpot
Under the guidance of Intelliarts specialists, the company successfully implemented a translation portal, which:
- Helped to reduce the time spent on one translation from 5-20 minutes to a few seconds
- Added an ability to keep track of the translation status
- Made it possible to translate many documents in parallel
Overall, we’re comfortable with Intelliarts. We know that whatever they work on will be high value, which matters most.
Frank Miller
President @Ryffine
Intelliarts performed detailed data analysis to help an EV charging company to:
- Reduce downtimes and maintain their stations in top condition
- Provide deep insights into the equipment behaviors of EV chargers
- Recommend on data quality and quantity improvements
- Prepare data for building a predictive maintenance solution
Why Choose Intelliarts for Data Engineering?
- End-to-end project delivery
- Business results come first
- Faster time-to-value
- Cross-domain knowledge
- Certified data engineers and developers
- Experience with top industry tools and technologies
- Extensive cloud computing skills
- Quality management and information security
- Awards and recognitions
We take a holistic approach to data engineering and cover every need of your data science project, from data strategy, data engineering and platforms consulting through implementation to maintenance and support.
In data engineering consultancy, we focus on outcomes rather than outputs. We always take into account how the task we complete will affect the project’s overall success and what value it’ll bring to the company. Keeping this in mind, we strive to offer better data engineering consulting solutions depending on the project goals and if applicable.
As a team, we put ourselves in the customer’s shoes and help them achieve their goals faster. Although data engineering projects can be lengthy, Intelliarts delivers value in phases and makes the project development process as predictable as possible.
Our data engineering experts bring business expertise from previous projects and other related tech domains to solve complex challenges and build simple and accessible solutions for every need. Our tech expertise expands to software engineering, DevOps, data science/ML, big data, data analytics, and more.
From Snowflake to Redshift, BigQuery, EMR, and Databricks, our engineers are certified across a leading data engineering tech stack. Regular investments in training are a must for us to drive excellence at work.
Apache Spark
Snowflake
Apache Airflow
Amazon Aurora
Amazon S3
Amazon Glue
Python
Dask
Amazon Redshift
Databricks
Amazon Kinesis Data Streams
Amazon DynamoDB
In our daily practice, Intelliarts builds scalable data solutions on top of major cloud platforms. We’re sure our vast experience in cloud computing could be of great benefit to your organization.
We ensure data protection and privacy as well as stick to security best practices in our work approach. Our data engineers build high-level solutions ensuring compliance with top international standards and regulations such as GDPR, CCPA, ISO 27001, and ISO 9001.
Top Artificial Intelligence Company in Ukraine 2023 by Clutch
Top Machine Learning Company in Ukraine 2023 by Clutch
Top BI and Big Data Company in Ukraine 2023 by Clutch
Top Big Data Analytics Company by GoodFirms
Most reviewed BI & Big Data Company in Poland by the Manifest
Top AI Development Company 2024 by Tech Reviewer
Top Big Data Analytics Company in Ukraine by Designrush
Top IT Consulting Company by AppFutura
Apache Spark
Snowflake
Apache Airflow
Amazon Aurora
Amazon S3
Amazon Glue
Python
Dask
Amazon Redshift
Databricks
Amazon Kinesis Data Streams
Amazon DynamoDB
Top Artificial Intelligence Company in Ukraine 2023 by Clutch
Top Machine Learning Company in Ukraine 2023 by Clutch
Top BI and Big Data Company in Ukraine 2023 by Clutch
Top Big Data Analytics Company by GoodFirms
Most reviewed BI & Big Data Company in Poland by the Manifest
Top AI Development Company 2024 by Tech Reviewer
Top Big Data Analytics Company in Ukraine by Designrush
Top IT Consulting Company by AppFutura
Data Engineering Process at Intelliarts
Contact Us
Improve the efficiency of your data pipelines and build a solid data foundation together with our experienced data engineers.
Tell us your data challenge and get ready to take advantage of our data engineering consulting services.
FAQ
From small to medium to enterprise businesses, almost every company can benefit from data engineering services to optimize its data infrastructure and make more informed decisions. Still, our best data engineering consultants will be the most helpful to those businesses that lack time and human resources to carry out their data transformation journey.
There is a list of factors that you may consider when choosing data engineering service providers. For example, you may pay attention to data engineers’ competencies in relational databases, cloud computing, AI/ML principles, statistics, and algorithms. The specialists should be able to provide effective solutions to data-related business problems and easily operate data engineering tools such as Airflow and Spark. Among other things you might want to consider, there are industry expertise, flexibility, work process, corporate culture, security, and compliance.
As your company progresses through various growth stages, you can think of outsourcing data engineering consulting services. For one thing, you keep some level of flexibility as your company doesn’t hire a team of data engineers, who you may not even need all year round. For another, your business will benefit from top talent while maintaining company focus. Outsourcing allows you to attract data pipeline consultants and experienced data engineers who have the latest data and analytics tools in their arsenal.
