Application Development
Cyber Security
Featured
Management Consultancy
AD
Author
Abdelrahman Deiab
Read time
4 minute read
Published
22 Jan 2026
Topics
AI and Data Science
Executive summary
ETL, owned and automated — on the client’s infrastructure, on their terms.
A mid-sized investment firm engaged OmniVista Solutions to migrate and modernize its Extract, Transform, Load (ETL) process. The client, lacking an in-house IT department, initially relied on a third-party vendor for hosting. As the firm matured, it required greater control, security, and efficiency by moving ETL in-house.
Data pipelines are the backbone of modern financial services. ETL processes enable organisations to integrate disparate data sources, transform them into consistent formats, and load them into systems for analysis and reporting. For growing firms, maintaining ownership and control of these processes is critical to ensure compliance, cost-effectiveness, and operational resilience.
Architecture
From third-party hosting to in-house ownership
The migration moved every layer of the ETL stack — codebase, scheduling, notifications, and access policies — from external vendor infrastructure onto the client’s own internal systems. All connections were re-engineered, tested in development, and promoted to production without any service gap.
ETL pipeline — in-house model
Before — third-party hosted
✕Limited control over infrastructure and scheduling
✕Security concerns from reliance on external systems
✕Scalability constraints as data volumes grew
✕No automation or modern notification capabilities
After — in-house owned
✓Full control over infrastructure, scheduling, and access
✓Reduced external exposure — security-first design
✓Scalable architecture built to handle data growth
✓Automated notifications and optimised scheduling
The challenge
Four limitations of third-party ETL hosting
The client’s ETL process was previously hosted on third-party infrastructure. While functional, this setup introduced limitations that became increasingly problematic as the firm grew. The migration also required zero service disruption, consistent dev-to-prod environments, and properly managed user access policies.
Limited infrastructure control
No direct control over scheduling, configuration, or the underlying infrastructure — requiring coordination with a third party for even minor operational changes.
External security exposure
Reliance on external systems for sensitive financial data workflows introduced security and compliance risks that grew harder to justify as the firm matured.
Scalability constraints
As the firm’s data volumes and reporting needs grew, the legacy third-party setup lacked the flexibility to scale efficiently without additional cost and complexity.
No automation or notifications
Without modern notification capabilities, the team had no reliable way to monitor process completion or receive alerts when issues arose — creating operational blind spots.
The solution
Five structured phases — from preparation to production
OmniVista deployed a structured approach covering every aspect of the migration — stakeholder communication, codebase re-engineering, automation, scheduling, and access management. Each phase was completed and validated before the next began.
Key technical work completed
→
Database connections re-engineered to point to internal servers — all third-party references removed from the codebase.
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Automated email notification system built from scratch — alerting the right stakeholders at process completion and on failure.
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Job scheduling optimised and configured with daylight saving awareness — ensuring reliable execution regardless of calendar date.
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Access policies aligned and validated across development and production — consistent, controlled, and properly permissioned throughout.
Benefits
Five improvements delivered by the migration
By re-engineering database connections, introducing automated notifications, and optimising scheduling, OmniVista delivered a robust, automated, and scalable solution — overcoming access policy challenges and time zone synchronisation without any disruption to the client’s business.
ETL, owned and automated. On your infrastructure, on your terms.
OmniVista · AI & Data Science · Management consultancy
Looking to bring your ETL processes in-house or modernize your data pipelines?
OmniVista leads ETL migrations and data workflow modernization for financial services firms.
