Full automation of data pipelines allows organizations to extract data at its source, transform it, integrate it with other sources and fuel business applications and data analytics. It’s an important brick of a truly data driven ecosystem.

Data Pipeline Automation

Data Pipeline Automation
services we perform

  • Design of the end-to-end data flow architecture
  • Implementation of cloud based ETL processes
  • Integration with existing data sources and services
  • Design and development of the data driven applications

Benefits of Data Pipeline Automation

  • Enabler for a real time data-driven decision making
  • Better data analytics and business insights
  • Identification and utilization of dark data
  • Scalable and easy to maintain cloud solutions
Our clients were featured in


Fast Company

Our technology tool stack

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

  • Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
  • Hadoop tools: HDSF, Hive, Pig, Spark, Flink
  • No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
  • Process Automation: Oozie, Airflow

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

  • Python: numpy, pandas, matplotlib, scikit-learn, scipy, spark, pyspark & more
  • Scala, Java, JavaScript

Discover our latest news & blog posts

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Data Pipeline Automation FAQ

How do you automate data?

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


What is the benefit of data pipeline automation?

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.


How does data pipeline work?

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


What are the elements of a Data Pipeline project?

  • Identifying the client’s needs
  • Designing  a highly scalable efficient data solution
  • Implementing the ETL processes
  • Validating and verifying data quality
  • Delivering  an analytical data driven solution for your organization


When does a company need a Data Pipeline service?

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.


Get in touch with us

Contact us to see how we can help you.
We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm).

Piotr Iwanicki

Business Developer


Grochowska 306/308
03-840 Warsaw

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