We provide best in class data engineering services including data migration from on-prem to cloud , within cloud , big data solutions and data governance.
We build data quality frameworks using open-source tools and integrated with all ETL stages to ensure ACID properties and standard migration process.
Our solutions are extremely competent in building data solutions based on requirements and converting them to scalable architectures in cloud especially with AWS , AZURE and GCP.
We help you with Enhanced data systems to orchestrated the production data pipelines using AIRFLOW and Docker containers.
We build multiple big data pipelines in cloud using Spark, Hadoop for batch and Kafka , NIFI and Apache frameworks for streaming pipelines.
We build inhouse client scalable data pipelines in AWS using Glue , EMR , S3 , Athena and Kinesis for handling and transforming Terabytes and Petabytes data loads.
We build batch and streaming ETL pipelines in azure using Data factory , Blob store , Databricks and Azure Datawarehouse.
Programming Languages Used For Data Engineering
Big Data Frame Works Used For Data Engineering
ETL Orchestration Used For Data Engineering
Clouds Used For Data Engineering
BDs Used For Data Engineering
Data Warehouses Used For Data Engineering
