Data Engineering

Our Data Engineering service provides end-to-end solutions to design and implement robust data infrastructure tailored to your business needs. Leveraging expertise in technologies like Apache Spark, Hadoop, Snowflake, Google BigQuery, AWS Redshift, Microsoft SQL, and Oracle DB, our data engineers define and deploy the right architecture for your data landscape.

We specialize in connecting internal and external data sources, implementing ETL/ELT processes through automation or data pipelines with Google PUB/SUB or Apache Nifi, and ensuring data lineage with tools like Apache Atlas or proprietary systems. Our team handles data normalization, enrichment, and validation using Python, and collaborates closely with you to define KPIs and deploy data models and visualization tools like Google Looker Studio, PowerBI, or Tableau.

For every project, we assign a dedicated Technical Project Leader and Project Manager, supported by specialized technical resources. We work alongside you from start to finish, ensuring seamless implementation and ongoing support.

  • ENGINEERING AND IMPLEMENTATION
  • PROJECT MANAGEMENT
  • SUPPORT & MAINTEINANCE