How We Work With You
From a 6-week sprint to an ongoing strategic partnership — we adapt to your pace, your risk appetite, and your team.
Data Strategy & Architecture
Enterprise data strategy, target-state architecture, governance frameworks, and roadmap prioritisation — aligned to business outcomes and built for scale.
- Current-state assessment and target-state vision
- Data governance and quality standards
- Phased delivery roadmap with quantified ROI
- PCI-DSS compliant data architecture for regulated industries
Data Engineering & Pipelines
Scalable ETL/ELT pipelines, data modelling, automated quality checks, and legacy system migration — built for reliability and performance.
- Batch and real-time pipeline development
- Data modelling: dimensional, vault, OBT patterns
- Automated quality testing and monitoring
- Real-time event streaming for near-real-time data movement
- Managed ELT ingestion with automated schema migration
- DataOps tooling: dbt, Great Expectations, Airflow, Dagster
- Infrastructure as Code (IaC): Terraform, Docker, GitHub Actions CI/CD
Analytics & Business Intelligence
Executive dashboards, self-service analytics, KPI frameworks, and data literacy programmes — turning data into clarity for every stakeholder.
- C-suite scorecards and operational dashboards
- Self-service analytics with governed access
- KPI frameworks and metric stores
- Marketing data infrastructure with AdTech integrations
AI & Machine Learning
Production ML pipelines, generative AI integration, predictive analytics, and MLOps — moving AI from experiment to enterprise-grade deployment.
- RAG pipelines and LLM fine-tuning
- Predictive models for churn, demand, fraud
- MLOps with automated retraining and drift detection
Cloud Data Platforms
Cloud data warehouse design, lakehouse architecture, multi-cloud strategy, and platform operations — secure, cost-optimised, and built for the long term.
- Snowflake, BigQuery, Redshift, Synapse architecture
- Lakehouse with Delta Lake, Iceberg, Hudi
- Multi-cloud strategy and cost optimisation
- Infrastructure as Code (IaC): provisioning and managing cloud data infrastructure using Terraform and containerised workloads with Docker, ensuring repeatable, version-controlled environments
- Legacy Big Data Migration: structured migration pathways from legacy Hadoop, Hive, and Cassandra architectures to modern lakehouse platforms (Databricks/Snowflake), consolidating your data estate and reducing infrastructure costs
Engagement Models
Project-Based
Fixed-scope, fixed-timeline engagements with clear deliverables. Ideal for well-defined initiatives like a data platform migration or a specific AI model deployment.
Best for: Defined projects with known outcomes and budget parameters.
Retainer / Advisory
Ongoing strategic partnership with dedicated Extrodata principals on retainer. Continuous guidance, prioritisation, and hands-on delivery across multiple workstreams.
Best for: Organisations building long-term data capability with sustained expert support.
Embedded Team
Extrodata senior practitioners integrate directly into your teams, adopting your ways of working while bringing specialist expertise you may not have in-house.
Best for: Scaling delivery capacity with senior talent that augments your existing team.