Turn raw data into decisions
We design and build modern data infrastructure — pipelines, warehouses, real-time analytics, and BI dashboards — so your organisation can trust its data and act on it faster.
Everything you need, delivered end-to-end by our specialist team.
Batch and streaming ETL/ELT pipelines using Airflow, dbt, Spark, and Flink.
Snowflake, BigQuery, and Redshift setup with dimensional modelling and optimised schemas.
Kafka + Flink/Spark Streaming for millisecond-latency analytics on high-volume event data.
Looker, Metabase, Grafana, and Tableau dashboards for business, ops, and product teams.
S3/GCS-based data lakes with Delta Lake or Apache Iceberg for reliable, queryable storage.
Great Expectations, dbt tests, and data catalogues (Datahub, OpenMetadata) for trustworthy data.
Sync warehouse data back to CRM, marketing, and ops tools using Census or custom pipelines.
dbt model development, metrics layer setup, and self-serve analytics enablement for teams.
Map all data sources, assess quality, understand business questions that need answering.
Design data platform architecture — ingestion, storage, transformation, and serving layers.
Develop and test pipelines with full data quality checks and SLA monitoring.
dbt transformation models, dimensional model design, and metrics definitions.
Build and iterate on BI dashboards with stakeholder feedback.
Alerting, SLA tracking, documentation, and data team enablement.
An e-commerce company was running reports from production databases, causing slow queries and data discrepancies across 8 different spreadsheets used by 5 teams.
Built a Snowflake data warehouse with Fivetran ingestion, dbt transformation layer, and Metabase dashboards. Single source of truth for all KPIs.
Let's talk about your project. We'll get back to you within 24 hours with a tailored approach and realistic timeline.