TelecomTelenor
Thunder
Product engineering for Telenor Pakistan's Thunder platform — building at telecom scale for a leading mobile operator.
View case studyAI & Data
Data Engineering & Platforms Fix the foundation first
The foundation AI actually runs on.
All AI & Data
Most failed AI projects are really failed data projects. We build the pipelines, warehouses and governance that make models possible — and that make your existing reporting faster and more trustworthy on the way there, so the work pays for itself before a model is trained.
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Tell us the decision you are trying to improve and we will tell you whether this is the right place to start.
Start a conversationWhat we build
Pipelines & ingestion
Reliable, monitored data flows from source systems, with the failure handling that stops a silent break becoming a bad decision.
Warehouse & lakehouse architecture
Modern platforms sized to your actual query patterns and budget, rather than the vendor's reference architecture.
Migration & modernisation
Moving off legacy warehouses and hand-built extracts without pausing the reporting the business runs on.
Data quality & master data
Validation, deduplication and reconciliation, so the same question asked twice returns the same answer.
Real-time & streaming
Event pipelines and telemetry ingestion where a daily batch is not fast enough to act on.
Analytics & visualisation
The reporting and dashboard layer on top, so the platform delivers value to the business immediately.
Platforms we work across
Snowflake
Teradata
Oracle
Microsoft Azure & Fabric
AWS data services
Open source — Spark, Airflow, dbt, Kafka
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Book a no-pressure discovery call. We'll listen, ask the right questions, and come back with a clear plan — usually within 48 hours.