Raw Data Is Worthless. Insight Is Everything.
We build the data infrastructure, pipelines, and analytical systems that transform your raw data into competitive advantage — from data warehousing and ETL to advanced visualisation and predictive modelling.
Our Data Analytics Services
Every layer of the modern data stack — from ingestion to insight.
Data Warehouse & Lake
Modern cloud data warehouse design and implementation on Snowflake, BigQuery, Redshift, or Databricks — optimised for query performance and cost.
ETL / ELT Pipelines
Reliable, monitored data pipelines that extract, transform, and load data from every source system into your analytics platform — on schedule, every time.
Real-Time & Streaming
Event-driven architectures using Kafka, Spark Streaming, and Kinesis for analytics that run on live data — not yesterday's batch.
Data Quality & Observability
Data contracts, automated quality checks, lineage tracking, and alerting so you always know your data is accurate and trustworthy.
Data Catalogue & Governance
Metadata management, data discovery, access controls, and compliance frameworks so your data assets are organised, discoverable, and governed.
Advanced Analytics & ML
Statistical analysis, segmentation modelling, A/B testing infrastructure, and ML feature stores that power your data science team.
We Fix Broken Data Stacks
Slow pipelines, unreliable reports, duplicated tables, mystery columns — if your data platform has become a source of frustration instead of insight, we specialise in turning inherited chaos into reliable infrastructure.
Building Your Data Platform
A methodical approach that delivers quick wins while building long-term data capability.
Data Landscape Audit
We map all your data sources, existing pipelines, storage systems, and analytics tools — identifying gaps, duplicates, and quality issues across the stack.
Architecture Design
We design the target data platform architecture — choosing the right tools for your scale, team skills, and budget — with a roadmap from current state to target state.
Pipeline & Warehouse Build
We build and test all ingestion pipelines, transformation layers, and data models — following engineering best practices with full documentation and testing.
Analytics Layer & Delivery
We build the semantic layer, dashboards, and self-service analytics surfaces on top of the warehouse — delivering insight to end users in their preferred tools.
The Modern Data Stack We Deploy
We work with best-of-breed tools across every layer — and we help you choose what's right, not just what's fashionable.
Snowflake & BigQuery
Cloud-native warehouses with near-infinite scale, separation of compute and storage, and zero maintenance overhead.
dbt & Airflow
SQL-first transformation with dbt for data modelling; Airflow or Prefect for orchestration and pipeline scheduling.
Kafka & Spark
Real-time event streaming with Apache Kafka; large-scale batch and streaming processing with Apache Spark.
Power BI & Looker
Enterprise BI and self-service analytics layers that bring warehouse data to every business user.
Why TechPros for Data?
Most data projects fail because they optimise for technology instead of business outcomes. We start with the decisions you need to make, and build backwards to the data infrastructure that enables them.
- Full-stack data teams: engineers, architects, analysts & scientists
- Modern data stack specialists with production-proven deployments
- Data quality & observability embedded from day one
- Documentation-first approach for maintainable, scalable platforms
- Knowledge transfer so your team owns the platform post-engagement
Our data pipelines were taking 18 hours to run and failing constantly. TechPros rebuilt our entire data platform in 10 weeks — pipelines now run in 45 minutes with 99.8% reliability, and our analysts have self-service access to clean, trusted data for the first time.