Senior data expertise for complex business systems.

Robert Wright helps businesses design, stabilize, govern, and improve the data platforms behind reporting, operations, and decision-making. Bring Arkvyr in for focused projects, inherited systems, architecture decisions, or hands-on delivery when the data work needs senior attention.

Project-based Defined builds, reviews, and targeted support
Hands-on SQL, pipelines, models, reporting, and governance
Enterprise-aware Complex platforms, global teams, and real operations

When to call

Bring in senior data help when the work needs clarity and momentum.

Arkvyr is built for teams that need experienced hands close to the data, not a generic advisory layer. Robert works across business context, platform constraints, source systems, SQL logic, reporting needs, and delivery pressure.

01

Reporting does not match reality

Source-to-report logic is unclear, metrics are disputed, or leaders need a trusted view of performance.

02

Critical data knowledge has left

Systems were inherited from employees, vendors, or carve-outs and need to be understood, documented, and stabilized.

03

Delivery needs senior execution

A project needs someone who can design the model, write the SQL, build the pipeline, and explain the tradeoffs.

04

Architecture decisions are stuck

Teams need practical guidance on data platforms, governance, marts, gold layers, and reporting architecture.

How I help

Project-based data work, from source systems to decision-ready reporting.

Work can be a defined build, a technical rescue, a design review, transition support, or a focused engagement alongside your existing team.

01

Data platform delivery

Design and build ETL, pipelines, PostgreSQL data stores, Airflow workflows, Python automation, and handoffs between source systems and analytics platforms.

02

Reporting and performance management

Create reporting-ready models, gold layers, dashboards, BI data sets, SSAS cubes, executive metrics, and operational views that teams can defend and reuse.

03

Data architecture and modeling

Clarify how data should move, relate, aggregate, and be governed across warehouses, marts, lakehouse layers, business domains, and reporting tools.

04

Governance, lineage, and transitions

Document inherited systems, map source-to-report logic, define metadata and ownership, and support teams when internal knowledge or vendor support is missing.

About Robert

Experienced freelance data architecture and delivery.

Arkvyr is Robert Wright's trading company for independent data consulting and project delivery.

Robert Wright
Robert Wright, Principal Data Architect
LinkedIn profile Codeberg profile

Robert works with businesses that need senior data judgment and hands-on execution in the same engagement. He helps teams make complex data platforms understandable, reliable, governed, and useful for reporting and decision-making.

The work is technical enough to sit in SQL, models, pipelines, metadata, and platform design, but business-facing enough to help leaders make decisions about reporting, operations, staffing, performance, risk, and growth.

Engagement model

Senior support without a heavyweight consulting setup.

Arkvyr is set up for focused, senior-level work: a defined project, a critical data problem, a short architecture engagement, or targeted support while your internal team keeps moving. Robert is Netherlands-based and works with clients across Europe, North America, and global teams.

Project-based Defined outcomes, focused delivery, and practical handoffs
Senior + hands-on Architecture, SQL, pipelines, models, and reporting logic
Global-ready Remote collaboration across time zones and operating models

Project work

Practical data architecture built for operational scale.

Greenfield BPO data platform

Standing up enterprise reporting for a global call center carve-out.

A BPO carve-out needed a complete data architecture for operations across Asia, LATAM, the US, and Europe. The environment had to integrate call center data across 27 clients into a single warehouse while still supporting client-specific reporting needs.

  • Designed a raw staging layer, client-specific schema data marts, and an enterprise reporting data mart.
  • Built a common taxonomy for sites, clients, contracts, subcontracts, and operational rollups.
  • Modeled employee hierarchy from agent to supervisor, manager, and site-level reporting.
  • Integrated HRIS and finance systems to create enterprise cubes in SSAS for Power BI developers in nine weeks.

Outcomes

Created a scalable and repeatable pattern for enterprise reporting, client reporting, and call center performance management. The business achieved key transformation results from the carve-out, including more than 120 metrics per employee per client and a Bill to Pay reporting output that helped reduce unbillable labor by 15% in the first three months.

Governance risk platform architecture

Designing a scalable lakehouse reporting model for a Fortune 500 financial services company.

A Fortune 500 financial services company needed data modeling and architecture design for a governance risk compliance platform. The work defined a data lake architecture and Databricks reporting model organized around bronze, silver, and gold data layers.

  • Produced architecture documentation plus logical and physical data models.
  • Designed aggregated reporting examples for enterprise reporting and analytics teams.
  • Mapped security and access controls that could scale quickly at the row level.
  • Delivered the design in four weeks with 100% client satisfaction, and the model remains in production for enterprise reporting.

Outcomes

Replaced a legacy set of hard-to-manage IBM Cognos reports with repeatable patterns for data reporting and aggregation. New report delivery improved from roughly three months to two weeks.

Dynamic employee aggregation layer

Building a self-healing gold layer for daily performance management reporting.

A large enterprise BPO company with global operations needed a dynamic aggregation layer that could turn bronze and silver data into a reporting-ready gold layer for employee performance management. The environment had to handle customer-specific source systems across ACDs, workforce management, payroll, HR, customer satisfaction, and other operational platforms.

  • Designed a PostgreSQL-based gold layer for daily employee performance management views.
  • Built dynamic onboarding patterns for new data sources and customer-specific operational systems.
  • Resolved employee attribution across source-system logins, workforce identifiers, HR records, and payroll data.
  • Enabled consolidated reporting across 60 business units with consistent performance information.

Outcomes

Created a self-healing reporting layer that supported daily management visibility, reduced manual intervention, and made it possible to aggregate performance data consistently across 60 business units.

Financial forecasting model

Automating revenue, staffing, and demand forecasting for a consulting business.

A consulting firm focused on regulatory and risk platforms and advisory services needed a custom data model to forecast revenue, future demand, and staff requirements across four legal entities and global support needs. The model had to account for complex pricing and billing mechanisms across T&M, fixed fee, and project-based engagements.

  • Built a PostgreSQL-backed model to unify sales pipeline, staffing, and engagement data.
  • Created ETL processes to ingest CRM opportunity data and staff planning data from a custom internal platform.
  • Designed a real-time dashboard for leaders to review revenue, cost, and capacity outlooks.
  • Supported forecasting across legal entities, global delivery needs, billing models, and engagement types.

Outcomes

Enabled leadership to forecast staffing needs, costs, and revenue more accurately and make better planning decisions as demand shifted across multiple engagement types.

Platforms and tools

Experienced across the data stack.

Arkvyr supports the platforms and tools that enterprise data teams rely on for storage, modeling, reporting, analytics, and delivery.

PostgreSQL
MySQL
AWS
Microsoft SQL Server
Power BI
Tableau
IBM Cognos
Oracle Database
IBM Db2
Snowflake
Databricks
Azure

Contact

Need data expertise on a project, platform, or transition?

Share the project, platform issue, or reporting problem you need help with. Robert can help scope the work and provide focused data engineering, governance, architecture, or reporting support.

Arkvyr
Koornmarktpoort 25 C, 8253TE Dronten, Netherlands