Data engineering pipelines for real-time analytics
Companies sit on valuable data in PostgreSQL, MongoDB, ERP exports, and spreadsheets — but leadership still waits days for reports. Modern data engineering connects sources, models clean datasets, and serves dashboards in near real time.
We build pipelines with Python, Apache Airflow, dbt, Kafka, and cloud warehouses like Snowflake, BigQuery, and Redshift — sized to your stage, not an over-engineered lakehouse.
Start with one business question and one dashboard — then expand the pipeline as trust grows.
Pipeline architecture
- Ingestion from APIs, databases, and files
- Transformation with tested SQL/dbt models
- Orchestration with retries and data quality checks
- Visualization in Metabase, Power BI, or custom React dashboards
ML-ready foundations
- Feature stores for repeatable model training
- Labeled datasets from operational history
- Batch and streaming inference endpoints
Learn more about Data Science & Data Engineering at Hiraba.