Data Engineering
Custom ETL, pipeline development, Airflow workflows, Python automation, data movement, normalization, and reliable handoffs between source systems and analytics platforms.
Built for data platforms that have to perform
Data experts for complex systems, critical decisions, and delivery.
Arkvyr helps organizations design, build, stabilize, and understand the data platforms that support their operations. We provide practical consulting and custom project delivery across the US, Europe, Canada, and beyond.
The Arkvyr focus
Support for the work that sits between strategy, systems, and the data itself.
Arkvyr is built for teams that need experienced hands on data design, SQL, pipelines, reporting, governance, and platform decisions. We are not a DBA shop. We help with the actual shape, flow, meaning, and usability of your data.
Capabilities
Practical data services for teams that need momentum.
Business Intelligence
Custom reporting, BI projects, SQL development, Microsoft SQL Server and SSAS support, analytics-ready models, and clear reporting layers that teams can trust.
Data Governance
Guidance on data lineage, metadata management, master data management, ownership models, documentation, and controls that make enterprise data easier to manage.
Data Architecture
Architecture assistance, data design, platform selection, modeling support, integration patterns, and PostgreSQL-first thinking where it fits the business.
How we help
Project-based delivery and targeted support.
Bring Arkvyr in for a defined build, a messy transition, a design review, or specialist support when your team needs deep data experience without adding permanent headcount.
Build and improve pipelines
Design, develop, troubleshoot, and document ETL and data pipeline workflows.
Take ownership during transitions
Step in when key people leave and help teams understand, operate, and improve inherited systems.
Clarify the data layer
Untangle SQL, normalize data, document lineage, and make source-to-report logic easier to defend.
Guide platform choices
Evaluate data platforms, governance tools, reporting stacks, and architecture tradeoffs.
Support custom development
Deliver custom queries, reporting models, BI assets, Python utilities, and database-facing data logic.
Global operating experience
US-based, globally capable.
Arkvyr supports clients across markets and operating models, with experience spanning the United States, Europe, Canada, and international teams working across time zones.
SQL
Expert data logic and analysis
PostgreSQL
A preferred platform for durable data systems
Python + Airflow
Automation and pipeline orchestration
Partners and platforms
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
Strategy
formerly MicroStrategy
Oracle Database
IBM Db2
Snowflake
Databricks
Azure
Case studies
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 100 enterprise.
A Fortune 100 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.
Contact
Need data expertise on a project, platform, or transition?
Tell us what you are trying to build, fix, document, or understand. Arkvyr can help scope the work and provide the right level of data engineering, governance, or architecture support.