Data Engineering

Our Data Engineering service helps you manage and optimize large-scale data pipelines, handle ETL (Extract, Transform, Load) processes, and store massive amounts of data in cloud-based data lakes.

Key Offerings:

• Data Pipelines: Design, build, and manage data pipelines to process and store large datasets efficiently.
• ETL Processes: Develop optimized workflows to extract, transform, and load data for analytical purposes.
• Data Lakes: Implement scalable data lakes using AWS S3, Azure Data Lake, and other cloud platforms.
• Cloud Storage: Ensure secure, scalable storage solutions using AWS S3, Azure Blob Storage, and Google Cloud Storage.

Technologies We Use:

• Apache Spark
• Azure DataBrick
• Azure Data Factory
• Azure Synapnse
• Microsoft Fabricy
• Azure Data Lake (Delta)
• AWS Glue
• AWS Redshift
• AWS EMR
• Google BigQuery