Data Engineering

We deliver large scale Big Data solutions to turn them into valuable business insights

Achieve business goals with data masters

Today's organizations generate a huge amount of data that needs to be optimized and transformed into useful business knowledge. Our team of qualified and experienced Data Engineers and Consultants will create high-performance infrastructure and optimize your data to help you make better decisions and achieve your business goals.

Explore Data Engineering services that will change your business

Data discovery & Data maturity assessment

Data quality checks and standardization services

Cloud based scalable solutions for large volumes of data

Real-time and batch data processing

Optimization of database and data warehouse platforms

Advanced data analytics

Explore Data Engineering services that will change your business

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We know how to transform your data into valuable insights

Data Architecture

Our certified team of experts specializes in designing DE cloud solutions, optimizing database and data warehouse platforms, preparing and automating ETL processes for multi-structured data. We also develop software solutions to integrate systems seamlessly, ensuring efficient and cohesive data management.

Data Architecture

Data Processing

We implement scalable data-driven solutions. From real-time and batch data pipelines for seamless data processing to ensuring data quality and standardization, we optimize data workflows efficiently. Our experts provide data integration & maintenance services, and setting up robust Data Lakes and Data Warehouses, enabling businesses to manage vast amounts of data.

Data Processing

What our clients say

"DS Stream provided an expert team from day one, automating over 90% of our work to boost efficiency and reduce errors. Their expertise and seamless workflow make them a valued partner."

Anonymous

CEO, Sports Analytics Company

"DS Stream delivered on all requirements, showing outstanding responsiveness and commitment. Their expertise and open communication created a high-performance, comfortable work atmosphere."

Maciej Mościcki

CEO, Macmos Stream

"DS Stream's collaborative and innovative approach made our platform resilient and scalable, enabling us to support millions of users as we grow. Their thorough research and strategic kickoff made a significant impact."

Adam Murray

Head of Product Development, Sportside

"DS Stream provided an expert team from day one, automating over 90% of our work to boost efficiency and reduce errors. Their expertise and seamless workflow make them a valued partner."

Anonymous

CEO, Sports Analytics Company

"DS Stream delivered on all requirements, showing outstanding responsiveness and commitment. Their expertise and open communication created a high-performance, comfortable work atmosphere."

Maciej Mościcki

CEO, Macmos Stream

"DS Stream's collaborative and innovative approach made our platform resilient and scalable, enabling us to support millions of users as we grow. Their thorough research and strategic kickoff made a significant impact."

Adam Murray

Head of Product Development, Sportside

Selected Clients

Curious on how we can support your business with data engineering?

CONTACT US

Integrate Digital Solutions Effectively

Advantages of Digital Transformation

Data-driven decisions

Leverage insights from gathered data to make more informed, impactful decisions that drive business success.

Higher quality of the product

Improve user experience and performance, optimize processes, and implement data-driven strategies that lead to superior product outcomes.

Reducing costs

Strategic application of data engineering techniques and analysis can simplify your data architecture and increase efficiency.

Shorten project duration

Use the power of data to speed up the processes. Efficient data processing, better insights, and streamlined workflows will shorten your timelines.

Drop us a line and check how Data Engineering, Machine Learning, and AI experts can boost your business.

Talk to expert – It’s free

Dominik Radwański
Service Delivery Partner
Dominik Radwański
Service Delivery Partner
TALK TO EXPERT

Technology stack

We use expanded technology tool stack to make difference in your data

Cloud Toolset

  • Analytical Databases: Big Query, Redshift, Synapse
  • ETL: Databricks, DataFlow, DataPrep
  • Scalable Compute Engines: GKE, AKS, EC2, DataProc
  • Process Orchestration: AirFlow / Composer, Bat
  • Platform Deployment & Scaling: terraform, custom tools

Open Source

  • Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
  • Hadoop tools: hdfs, hive, pig, spark, flink
  • No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
  • Process Automation: oozie, Airflow

Visualisation Tools

  • Power BI
  • Tableau
  • Data Studio
  • D3.js

Programming Skills

  • Python: numpy, pandas, matplotlib, scikit-learn, scipy, spark, pyspark & more
  • Scala, Java
  • SQL, T-SQL, H-SQL, PL/SQL

Let’s talk and work together

We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm CET).

Dominik Radwański
Service Delivery Partner
Dominik Radwański
Service Delivery Partner
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Data Engineering FAQ

What is Data Engineering?

Data Engineering is the process of transforming large amounts of company data into useful systems that are prepared for in-depth business analytics.

How can Data Engineering help my business?

Data Engineering makes it faster and easier to extract useful information from a company’s data. As a result, these insights help to make accurate business decisions.

What are the benefits of Data Engineering?

A Data Engineering service takes care of collecting, parsing, managing, analyzing and visualizing large data sets in a company.

Does my company need Data Engineering services?

If your company is experiencing difficulties with data processing and storage, our team of qualified Data Engineers can help structure and optimize your company’s data to deliver business insights.

What are the elements of Data Engineering project?

At DS STREAM, we conduct Data Engineering projects based on a few steps:

1. Identifying the client’s needs

2. Designing a highly scalable efficient data solution

3. Implementing the ETL processes

4. Validating and verifying data quality

5. Delivering an analytical data driven solution for your organization