Our Services

Practice, broadening knowledge, practice ... Many years of building experience in the area of ​​Big Data and Cloud. And we are still excited about our work! We are mainly working on international projects.

As experts in building Big Data platforms, we support our Clients on a daily basis.

Data Platform Creation

  • data platform designing and developing on Google Cloud, Snowflake and Azure

Data Platform Creation

  • data platform designing and developing on Google Cloud, Snowflake and Azure
  • optimizing platform cost and efficiency
  • creating data catalogs with data lineage information
  • architecting Customer Data Platforms (CDP) on Google Cloud, Snowflake and Azure
  • constructing data lakes on BigQuery and Snowflake with built-in data sharing mechanisms

Data Platform Migration

  • planning and implementing data platform migrations
  • developing tools for seamless migrations
  • ensuring data synchronization during transitions
  • enabling transitions to modern services like Snowflake and BigQuery

Data Platform Modernization

  • deploying distributed schedulers, such as Airflow to streamline and automate your data workflows
  • introducing GitOps and DataOps approaches to enhance platform management
  • implementing DevOps practices and automating the creation of developer environments using Terraform
  • optimizing data pipelines and workflows for scalability and reliability
  • providing training and knowledge transfer to empower your team in modern data platform practices

Data Pipelines Engineering

  • designing and automating ETL workflows using technologies like Spark, Airflow, Databricks, Snowflake, DBT, and BigQuery
  • centralizing and automating month-end closing and reconciliation processes, including data scheduling and migration
  • designing ETL processes with a focus on compliance and data quality
  • validating KPIs and ensuring the accuracy of business metrics
  • maintaining and optimizing Databricks environments, automating processes with tools like Databricks Workflow, Azure Data Factory, and Control-M

Realtime System Creation

  • architecting and building real-time data streaming systems, processing data in an event-based fashion
  • specializing in creating real-time pipelines using technologies like Spark, Snowflake, Event Hub, Kafka, Python, Druid, and Spark Streaming
  • optimizing and scaling real-time data processing infrastructure as the workload grows
  • developing mechanisms for real-time fault detection and response
  • deploying custom modules like Azure IoT Edge, Kafka Connect, and Kafka Streams for tailored solutions
Our experience:

Observability & FinOps

  • conducting cost analysis and providing cost optimization recommendations for cloud (GCP, Azure), Snowflake and Databricks environments
  • building monitoring solutions to track resource utilization, performance, and cost-efficiency
  • offering regular reporting on resource utilization and cost management to ensure transparency
  • setting up automated alerting systems to detect anomalies and cost overruns in real-time
  • fine-tunning Spark jobs for improved efficiency
Our experience:

AI Model Deployment & Maintenance

  • specializing in deploying and maintaining AI models to optimize various business processes
  • developing customized AI models tailored to your specific needs and goals
  • continuously monitoring and fine-tunning AI models to ensure accuracy and performance
  • providing ongoing support and maintenance to keep AI systems up and running smoothly
Our experience:

Technologies we use

Datumo training image shows Datumo CEO on big stage on Devoxx event

Let’s teach You how to use it

The most useful knowledge through practical training:


Apache Spark + Scala

Apache Druid

Big Data - five-day general training


Make BIG data breakthrough!

Send us your inquiry via the contact form. We will contact you and together we will discuss the proposed actions for your data.

+48 789 566 177
Dziekońskiego 1 street,
00-728 Warsaw
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