01 – Core Service
Data engineering & architecture
We design and build the data infrastructure your business runs on – reliable, scalable, and ready for growth. From first pipeline to full data platform.
Common use cases
ETL/ELT pipeline design and implementation end-to-end
Real-time streaming and batch processing architectures
Data warehouse migrations (legacy → Snowflake, BigQuery, Redshift)
Multi-source system integrations and API connectors
Data quality monitoring and pipeline observability
Ideal for
CTOData leadVP of engineering
Build your data platform
01
Orchestration & processing
Apache Airflow
Apache Spark
Apache Flink
dbt
Talend
Cloud platforms
AWS Glue
AWS S3 / Lambda
AWS Kinesis
GCP Dataflow
GCP Pub/Sub
Warehouses & storage
Snowflake
BigQuery
Redshift
Hive / Hadoop
PostgreSQL
How it works
1
Audit sources
2
Design & build
3
Deploy & monitor