DATA ENGINEERING CONSULTING
Data is a crucial asset for enterprises, unlocking new opportunities. To effectively process data, organizations need dependable technology partners. Our Data Engineering solutions enable you to optimize, organize, and transform data to support your business goals.
We manage data ingestion from various sources, develop data strategies, configure cloud data lakes, and construct advanced data pipelines on AWS and Azure. Our storage solutions include data lakes, data warehouses, and data marts, as well as Batch ETL and Streaming ETL pipelines.
Technology stack we use for Data Engineering
- Databricks Lakehouse
- Snowflake DataCloud
- Cloudera Data Platform
- Python + Spark + SQL (A perfect trio for LakeHouse implementations)
- Terraform, AWS Cloud Formation
- Orchestration: Airflow, AWS lambda
- Clouds: AWS, GCP, Azure
- ETL: Talend, Informatica, FiveTran, Matillion, ADF, AWS Glue
- Cloud Storage: AWS S3, Google Cloud Storage, Azure blob and ADLS
- Databases: Mysql, SQL Server Oracle, Postgres, hive (hadoop), cloud: Redshift, Athena, MongoDB