Data architecture
Domain models, data flows, integration boundaries, platform patterns and decision records that make complex landscapes understandable.
Oracle · Data architecture · SQL / PL/SQL
Technology consultant
Solution architect and developer for data platforms. I turn complex data requirements into clear architectures, durable models and dependable software.
01 / Profile
Clarity for complex data.
I work where business priorities, application design and data engineering meet—bringing structure to difficult decisions and momentum to critical delivery.
I help organisations design, modernise and deliver data-intensive systems. My work combines pragmatic architecture with hands-on engineering, so the design remains connected to what can actually be built.
01
Architecture
From system context to deployable design.
02
Engineering
Robust solutions grounded in real code.
03
Advisory
Clear choices, trade-offs and direction.
02 / Expertise
Deep where it matters.
Oracle Database
Application-facing architecture and development for business-critical systems built on the Oracle ecosystem.
SQL & PL/SQL
Thoughtful data access, packages, APIs and processing logic designed for correctness, maintainability and operational scale.
Platform modernisation
Pragmatic roadmaps that evolve legacy data platforms without losing critical knowledge, stability or delivery pace.
Solution design
End-to-end technical direction across applications, services, data stores and integration concerns.
Focus: application and data architecture, solution design and development—not database administration or infrastructure operations.
03 / Selected delivery
Work that moved things forward.
NEW DATA WAREHOUSE
Development of new data warehouse to consolidate data in on true source of true for new business needs.
Challenge
Complexity of business needs, team and technological debt
Contribution
APEX and DWH development
Outcome
Improved reporting and analytical layer
Client names may be anonymised where confidentiality applies.
04 / Engagements
Where I add value.
Data platform direction
Define a coherent target architecture, resolve cross-system decisions and create a practical path from current state to delivery.
Legacy evolution
Untangle mature Oracle estates, identify valuable seams and modernise incrementally without unnecessary reinvention.
Hands-on solution build
Turn architecture into robust SQL, PL/SQL and data-centric software while keeping maintainability front and centre.
Technical review & recovery
Assess designs or troubled initiatives, make risks visible and establish concrete next steps that teams can act on.
05 / Approach
Architecture that ships.
Discover
Understand the landscape, constraints and outcomes that matter.
Frame
Make options, trade-offs and boundaries explicit.
Deliver
Translate direction into working, maintainable solutions.
Enable
Leave teams with shared context and a sustainable way forward.
Have a data platform challenge?