Data Engineering

Unlock the potential of large datasets and automation through newest technologies.

Unlock the potential of large datasets and automation through newest technologies.

Our toolset for data engineering includes PySpark and other Python libraries, SQL, Power BI, and SPSS. The solutions we provide will allow you to unlock the potential of your data by collecting, centralizing, and condensing it, so it can be used for dashboarding and charting or advanced analytics. We achieve this by building scalable and reliable data extraction, warehousing and modelling infrastructures tailored to your needs.

  • Our data extraction tools can parse and collect data from various sources and standardize it for future use.
  • Our data warehousing solutions allow for efficiently storing your data, requiring less space and processing time.
  • By creating robust data models, we allow your data to be queried in a simple and efficient way.

We offer both local and cloud-based solutions, according to your needs. We can setup and support cloud infrastructures in Azure, using Function Apps for smaller processes and Synapse Spark and SQL for larger data volumes.

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