Data Engineering & Pipelines

Data Engineering at Scale

Building robust, scalable data infrastructure for enterprise workloads. We design and operate the data platforms that power AI and business intelligence.

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What We Deliver

Enterprise-grade data infrastructure built for reliability, observability, and performance.

ETL / ELT Pipeline Design

Batch and micro-batch pipelines that reliably transform terabytes of data across sources, with built-in error handling, idempotency, and lineage tracking.

Data Lake / Warehouse Architecture

Lakehouse architectures that unify structured and unstructured data, with cost-optimised storage tiers, schema enforcement, and governance.

Real-Time Streaming

Event-driven architectures and streaming pipelines for sub-second data processing, powering real-time dashboards, alerting, and operational analytics.

Data Quality Frameworks

Automated data validation, profiling, and anomaly detection at every stage of the pipeline. Schema evolution, freshness checks, and SLA monitoring.

Our Approach

A structured methodology that ensures data platforms are built right the first time.

1

Data Audit

We map your existing data sources, assess quality, identify gaps, and benchmark current pipeline performance against your business requirements.

2

Architecture

We design the target-state architecture -- storage layers, compute engines, orchestration, and integration patterns -- optimised for your workload profile.

3

Build

Incremental delivery of pipeline components with CI/CD, infrastructure as code, and automated testing at every layer from ingestion to serving.

4

Optimise

Ongoing performance tuning, cost optimisation, and platform evolution as data volumes grow and new sources are onboarded.

Technologies We Use

We build on proven, scalable technologies from the modern data stack.

Apache Spark Apache Kafka Apache Airflow dbt Snowflake BigQuery AWS Redshift Azure Synapse Delta Lake Apache Flink Databricks Great Expectations

Use Cases

Data platforms we have designed and operated for enterprise clients.

Telecom Data Platforms

Working with Odine on Turkcell's data infrastructure, we built high-throughput pipelines that ingest and process billions of network events daily, powering real-time analytics and churn prediction models.

Telecom · Streaming · Big Data

Financial Data Pipelines

End-to-end data platforms for financial services that consolidate market data, transaction feeds, and regulatory reporting into a single, governed data warehouse with sub-minute latency.

FinTech · Compliance · Batch + Stream

IoT Data Ingestion

Scalable ingestion frameworks for industrial IoT workloads -- sensor telemetry, edge computing outputs, and time-series data -- with adaptive partitioning and automated compaction.

IoT · Time Series · Edge

Why GIS Analytics

London-Based

Headquartered in Islington, London. We work on-site, hybrid, or fully remote to suit your team's needs.

Enterprise Clients

Trusted by Siemens, Imperial College London, UCL, and other industry leaders across multiple sectors.

Full-Stack Delivery

From data ingestion through transformation to serving and monitoring -- we own the full data lifecycle.

Ready to Get Started?

Let's build your data infrastructure together

From initial data audit to production-grade pipelines -- we partner with enterprises to deliver scalable data platforms.

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