15 / Quality, cloud & infrastructure
Data you can trust, in databases built to grow
We design, optimise and clean up databases: PostgreSQL schemas, migrations, reporting and automated data-quality checks.
The database is the foundation most companies think about only once it starts to crack: reports from two systems show different numbers, the application slows down as records pile up, and decisions rest on data nobody fully trusts. The engine itself is rarely the problem — it's usually the data model, the queries and the processes around them, grown faster than anyone could keep tidy.
We fix these problems at the source. We design and clean up PostgreSQL schemas, optimise queries based on measurements, and build reporting and ETL processes, with automated validation rules standing guard over data quality: completeness, consistency, agreement between systems. Where an index will do instead of a rebuild, we say so plainly. You don't get 'a faster database for a while' — you get a data model and processes that carry growth, and data you can bet decisions on.
In the environments at PwC, Roche and E.ON where the firm's founder worked, automated validation checked day after day that data was complete, consistent and in agreement across systems — because a data error there only surfaces in the board report. We bring the same approach to a smaller scale: a database for a new product and reporting in a company that has outgrown Excel break for exactly the same reasons.
What the service covers
Database design and data modelling
You get a documented data model designed around real queries and future growth, not textbook theory. We design the schemas in PostgreSQL and run changes through versioned migrations rather than manual fixes on production.
- Schema and data-model design for your actual processes
- Schema migrations without downtime or data loss
- Supabase and cloud database implementations
- Data-model documentation for the team
Performance optimisation and SQL development
Reports and data-heavy screens stop keeping people waiting. We diagnose slow queries from measurements, not guesswork: execution-plan analysis, indexing, query rewrites and schema adjustments. We also write the complex reporting and analytics SQL your team is missing.
Reporting and data pipelines
Your combined numbers live in one reliable place — no more monthly ritual of stitching reports together from several systems and Excel. We build reporting systems and ETL processes that bring data from multiple sources together, turning hours of manual work into an automated job.
- Data integrations between company systems
- ETL processes and data pipelines
- Reports and views prepared for BI tools
- Data synchronisation between applications
Data quality and automated validation
You hear about discrepancies within hours — not at a board meeting where two reports disagree. We implement automated data-quality checks: consistency rules, reconciliation between systems and alerts when something drifts apart.
Security, backups and recovery
You know exactly how much data and downtime the business can afford in the worst case — and you have a plan that fits inside it. We tighten database access on a least-privilege basis and design a backup strategy with a tested restore procedure: a backup that actually restores.
Typical situations
Two reports from two systems show different numbers and nobody can say which one is right.
The application was fast with thousands of records, but today every data-heavy page takes seconds to load.
Backups supposedly “just run”, but nobody has ever checked whether anything can be restored from them.
Customer data lives in three systems plus Excel, and building a combined report costs someone several days every month.
What you can count on
- A database ready for data growth — a schema designed for real queries, with changes managed through versioned migrations.
- Visibly faster queries and reports, with a clear explanation of what we changed and why.
- Data discrepancies surface before they reach a management report — automated quality checks catch them first.
- A backup that actually restores — recovery tested in practice, not just a job that runs.
Technologies
- PostgreSQL
- SQL
- Supabase
- Python
- Amazon Redshift
- AWS Glue
- Amazon S3
Projects in this area
Selected work where this scope was part of the delivery.
IZAPzoo
IZAP, a brick-and-mortar retail chain, wanted its own loyalty programme on customers' phones instead of plastic cards. We designed and built the whole thing — Android and iOS apps, a cloud backend and an admin platform — and store staff now run points, rewards and promotions themselves.
Loyalty app and admin platform
ThomasSeekerAI
A private trader was combing OLX, Otomoto, Allegro and a handful of smaller sites by hand, every day, for things worth reselling. We built an internal tool that takes that work over: searches described in a plain sentence run on a schedule in the background, the noise is filtered out, and what is left is ranked by how good the opportunity looks — hours of manual browsing turned into an automated job.
Private opportunity-discovery tool with AI-assisted analysis
Data Reliability Platform
The most dangerous data failures are silent: jobs finish 'successfully' while the reports show something false. This enterprise platform on AWS catches such inconsistencies daily — automated validation, integration tests and monitoring, with results you can check rather than take on trust. The firm's founder worked on it as an engineer within a larger team, responsible for data-validation automation and testing.
Automated data validation and testing in an enterprise environment
Questions about this service
Usually not. We solve most performance problems on the database side: indexes, query rewrites and schema adjustments. We start with measurements that show where the time actually goes, and only then change anything. Rewriting the application is a last resort, not a starting point.
We go deepest in PostgreSQL and it's our default recommendation. A large part of the work — data modelling, SQL, query optimisation, data quality — carries over between engines. We also help with migrations to PostgreSQL or Supabase. In the first conversation we'll give you an honest assessment of whether your case is a good fit.
We turn manual checks into rules that run on their own: completeness (is anything missing), consistency (do invoice totals match the accounting), agreement between systems (do the CRM and the shop see the same customers). The rules run on a schedule, and every discrepancy triggers a notification saying exactly what disagrees and where.
Yes — and we start with a question surprisingly few companies can answer: how much data and how many hours of downtime can you genuinely afford to lose? We design the backup strategy to match, automate it and test restores in a scratch environment. You also get a short recovery procedure your team can follow without us.
Related services
DevOps and cloud
CI/CD, Docker, Terraform and AWS, so releases become a single click and you hear about failures before your customers do.
Automation and integrations
We replace copying data between systems, manual reports and retyping documents with scripts and integrations that run on their own.
Software development
Software written for a specific problem: internal systems, MVPs, integrations and taking over an application from another vendor — designed around how your company works, not the other way round.
Let's talk about your data
The first conversation is free and commits you to nothing. Describe the problem — slow queries, reports that disagree, a planned migration — and you'll get a concrete answer: what we'd do, what it may cost, and where to start.