Production data engineering for analytics and ML.

T H E C H A L L E N G E :

With the platform in place, the client needed to
operationalise it. Access controls were still inconsistent,
lineage visibility was patchy and audit trails across multiple
sources left real compliance and security exposure.
Legacy constraints continued to hold back advanced
analytics, machine learning and modern data science.
Business units wanted self-service analytics without
loosening governance — and the engineering team needed
reliable pipelines, not a permanent firefighting rota.

O U R A P P R O A C H:

We embedded a senior data engineering pod that owned
the production pipelines, the governance framework and
downstream analytics enablement. The pod worked as full
team members alongside the client’s own engineers, with a
Vsolutions US lead accountable for throughput, quality and
audit posture. Scope covered pipeline reliability,
governance hardening, BI delivery and ML integration
patterns.

W H A T W E D I D

Hardened the security framework — role-based access,
column- and row-level security policies, comprehensive
audit logging
Built automated lineage tracking and data classification
protocols across the Snowflake estate
Operationalised the Gold layer for analytics — semantic
models, Power BI and Tableau integration, governed
datasets per business unit
Enabled ML workflows for fraud detection, risk scoring
and customer segmentation
Delivered proofs of concept for next-generation platform
components and presented them to senior technology
leadership
Established an engineering playbook that additional
teams inside the organisation adopted

T H E O U T C O M E

ML in production for fraud detection, risk scoring and
customer segmentation
40% faster insights delivery across 1,000+ financial
data tables
Regulatory compliance strengthened through
automated audit trails and lineage
Self-service BI for business units with governance
intact
Engineering playbook adopted by additional teams
across the client
Continuous renewals — a multi-year, multi-team
relationship