Data Engineering
Turn fragmented data into a foundation for confident decisions. Adrenalin's data engineering expertise helps you connect platforms, transform raw data into trusted metrics and build the pipelines that allows teams stop debating numbers and start acting on them. We focus on practical outcomes - infrastructure that scales, documentation that enables independence and solutions your team can maintain long after we've handed over.
Connect platforms that weren't designed to talk
Business data lives across dozens of systems, CRM, advertising, web analytics, email, e-commerce, ERP. We build the integration layer that brings it together into a single source of truth, eliminating manual exports, spreadsheet reconciliation, and conflicting numbers.
Transform raw data into metrics you can trust
Data in a warehouse isn't useful until it answers questions. Our transformation layer cleanses, standardises, and enriches raw platform data into business-ready metrics — calculated once, documented clearly, and trusted across teams.
Data Engineering
Data Integration & Pipeline Development
We design and build pipelines that ingest data from across your technology stack. Using managed connectors like Fivetran and Stitch alongside custom API integrations where needed, we ensure reliable, scheduled data flows into your warehouse. Our pipelines handle complexity - multi-entity structures, cross-platform joins, incremental loads, and data freshness requirements.
Cloud Data Warehouse Implementation
We architect and implement cloud data warehouses optimised for your workloads - Snowflake, Databricks, BigQuery, PostgreSQL, Redshift or Oracle. This includes schema design, access controls, performance tuning, and cost management. Whether you're migrating from legacy systems or optimising an existing environment, we build warehouses that balance speed with efficiency.
Data Transformation & Modelling
Raw data becomes business intelligence through transformation. Using DBT and SQL, we implement layered architectures, business logic, data quality tests, and documentation — including incremental models and slowly changing dimensions where needed. All code is version-controlled, tested, and handed over with everything your team needs to maintain and extend it.
Data Governance & Quality
We implement the controls that build trust in data - automated quality checks, lineage documentation, access management, data contracts, and PII handling. Good governance isn't bureaucracy; it's the foundation that lets teams move fast without breaking things.
AI/ML Data Foundations
We prepare your infrastructure for machine learning - ensuring data quality, feature pipelines, and governance are ready before model deployment. For Snowflake environments, we design implementations using native ML capabilities like Cortex that keep data within your security perimeter.
Analytics & Visualisation Integration
Data engineering connects to the tools your teams use - PowerBI, Looker Studio, Tableau, Sigma, or embedded analytics. We build the backend that powers responsive, accurate dashboards: semantic layers, optimised queries, row-level security, and scheduled refresh.
Partner with us
We’d love to learn more about your digital project and see how we can help you
Contact Adrenalin