Google Cloud Platform
Utilized for managing and analyzing data with tools such as BigQuery, Dataflow, Composer, and Google Storage, essential for operations involving Data Warehouses, Data Lakes, Data Lakehouses, and Data Mesh.
Microsoft Azure Cloud
We orchestrate services on Azure for the smooth operation of Data Warehouses and Data Lakes, with tools like Azure DevOps, Data Factory, Data Fabric, Databricks, and Airflow enabling complex analyses and integrations.
Amazon AWS
On AWS, we create and maintain data infrastructures using tools such as Amazon S3, AWS Lambda, Redshift, and Amazon Quicksight with Generative AI Q, facilitating the management and analysis of large data volumes.
PowerBI
We employ PowerBI to develop interactive dashboards that enable deep and visual business analyses, enhancing decision-making.
Qlik
Qlik Sense is used to create intuitive visualizations and elegant dashboards, making data interpretation accessible and effective.
Databricks
Used for collaborative data engineering and science, Databricks simplifies the construction of complex data routines.
Apache Beam
With Apache Beam, we develop flexible data pipelines that adapt to various sources and analysis needs.
Apache Airflow
Airflow manages complex data workflows, allowing for efficient automation and monitoring of data processes.
Apache Spark
Spark is employed for rapid processing of large data volumes, supporting large-scale and real-time analyses.
Kubernetes
Kubernetes facilitates the orchestration of containers, ensuring efficient delivery and scalability of data applications.
