Over 10 years we helping companies reach their financial and branding goals. Onum is a values-driven SEO agency dedicated.

LATEST NEWS
CONTACTS
Twitter Facebook-f Pinterest Instagram

Data Modernisation Strategy

Enterprise Data Modernisation & Cloud Platform Strategy

Your Legacy Data Systems Are Holding Your Business Back

Outdated data infrastructure is one of the most expensive problems a growing enterprise carries. Legacy data warehouses that cannot scale, on-premise ETL systems that require constant maintenance, siloed databases that cannot talk to each other, and reporting layers that take days to produce insights that should take minutes — these are not just IT problems. They are business problems that slow decision-making, increase operational cost, and block the AI and analytics capabilities your organisation needs to compete.

I design and deliver data modernisation strategies that move enterprises from fragile, expensive legacy data infrastructure to scalable, cloud-native platforms — without disrupting the business operations that depend on the existing systems throughout the transition.

With 15 years of enterprise data architecture experience across cloud platforms, CRM ecosystems, and data integration frameworks, I bring both the strategic clarity and the technical depth to design a modernisation path that is realistic, phased, and built to last.

Book a Discovery Call
What I Do

What is a Data Modernisation Strategy?

  • Modernisation
  • Cloud Architecture

Data modernisation is the process of replacing or transforming outdated data infrastructure — legacy warehouses, on-premise ETL systems, monolithic databases, and disconnected reporting tools — with modern, cloud-native, scalable alternatives that support the speed, flexibility, and intelligence requirements of today's enterprise.

  • Legacy data warehouse assessment and modernisation roadmap design
  • Data lakehouse architecture design using Databricks, Azure Synapse, and AWS Lake Formation
  • Legacy Informatica and ETL pipeline modernisation to cloud-native alternatives
  • Post-migration governance framework design and data quality assurance

I design cloud data architectures across Azure, AWS, and GCP — selecting the right combination of lakehouse, data warehouse, streaming, and integration services for your specific data volumes, use cases, and organisational capabilities.

  • Cloud data platform architecture design — Azure, AWS, and GCP
  • Data lakehouse design using Databricks Delta Lake and Apache Iceberg
  • Modern data warehouse architecture using Snowflake and BigQuery
  • Real-time and batch processing architecture using Apache Spark and Kafka.
my services

Introduce Best
Data Modernisation Strategy Services

Legacy Data Platform Assessment

A structured evaluation of your current data infrastructure — warehouses, ETL pipelines, databases, and integration layers — identifying technical debt, scalability limitations, cost inefficiencies, and the modernisation priorities that will deliver the greatest business impact.

Legacy ETL Modernisation

Migrating on-premise Informatica PowerCenter pipelines and custom ETL systems to cloud-native alternatives — Informatica IICS, Azure Data Factory, AWS Glue, and Databricks workflows — with full data validation, testing, and zero-downtime cutover planning.

Cloud Data Architecture Design

Designing your target-state cloud data architecture across Azure, AWS, or GCP — selecting the right lakehouse, warehouse, streaming, and integration services, and producing a detailed architectural blueprint that guides your modernisation programme from start to finish.

Data Migration Strategy & Delivery

Designing and leading complex data migration programmes — from legacy CRM and ERP systems to modern cloud platforms — covering data mapping, cleansing, transformation, validation, and the governance processes that ensure data integrity throughout the migration lifecycle.

Data Lakehouse Architecture

Designing and implementing data lakehouse architectures using Databricks Delta Lake, Azure Synapse Analytics, and AWS Lake Formation — combining the flexibility of a data lake with the performance and governance of a data warehouse for both analytics and AI workloads.

Data Mesh Architecture Design

Designing federated data mesh architectures that distribute data ownership to business domains — reducing central data team bottlenecks, enabling faster data product development, and building a scalable operating model for enterprise data at scale.

how to get started

From Legacy Infrastructure to
Modern, Scalable Data Platform

arrow
01
Current State Assessment

We conduct a thorough assessment of your existing data infrastructure — cataloguing systems, evaluating data volumes and complexity, identifying integration dependencies, and scoring your modernisation readiness across platform, governance, and team capability dimensions.

arrow
02
process2
Target Architecture & Migration Roadmap

I design your target-state cloud data architecture and produce a phased migration roadmap — prioritising the highest-value modernisation initiatives, sequencing migrations to protect operational continuity, and defining the governance and integration standards the new platform will be built on.

03
process3
Programme Delivery & Enablement

I lead or support delivery of your modernisation programme — architecture build, data migration execution, pipeline modernisation, integration redesign, and team enablement — ensuring the new platform is fully operational, governed, and owned by your data engineering teams at handover.

Why Work With Me

A Data Modernisation Architect Who
Understands the Full Enterprise Data Ecosystem

That full-stack perspective prevents the most common and most expensive modernisation mistake — designing a modern cloud platform that is perfectly architected in isolation but fails to integrate cleanly with the CRM, MDM, and operational systems that feed and consume it.

Cloud Data Architecture (Azure, AWS, GCP) 91%
Databricks & Data Lakehouse Design 89%
Snowflake Data Platform 87%
Legacy ETL Modernisation (Informatica) 94%
Data Migration Strategy & Delivery 92%
c-logo1
c-logo2
c-logo3
c-logo4
c-logo5
c-logo6
real testimonials

What They
Say About My
Data Modernisation Work?

Head of Data Engineering
Anil designed our migration from an on-premise SQL Server data warehouse to a Databricks lakehouse on Azure. The architecture was thoughtfully designed, the migration was phased intelligently, and we had zero data loss incidents throughout. Our analytics team now has capabilities they could only have dreamed of before.
Head of Data Engineering
Financial Services Enterprise, 2024
Director of Data & Technology
We had been running the same Informatica PowerCenter pipelines for 12 years. Anil assessed our entire ETL estate, designed the cloud-native replacement architecture, and led the migration to Informatica IICS on AWS without a single business-impacting outage. His preparation and testing discipline were exceptional.
Director of Data & Technology
Retail Organisation, 2023
Chief Technology Officer
Anil's data modernisation roadmap gave our leadership team something we had been missing for years — a clear, credible, phased plan for getting from where we were to where we needed to be. Not just a vision document but a real delivery plan with priorities, dependencies, and risk mitigation built in.
Chief Technology Officer
MarTech Platform Company, 2024

Subscribe for Insights

CRM architecture, AI data strategy, and MDM

    My blog

    Latest Insights & Research

    Practical, experience-driven thinking on enterprise CRM architecture, AI in customer data, MDM strategy, and data governance — written for practitioners and decision-makers alike.

    Powered by
    ►
    Necessary cookies enable essential site features like secure log-ins and consent preference adjustments. They do not store personal data.
    None
    ►
    Functional cookies support features like content sharing on social media, collecting feedback, and enabling third-party tools.
    None
    ►
    Analytical cookies track visitor interactions, providing insights on metrics like visitor count, bounce rate, and traffic sources.
    None
    ►
    Advertisement cookies deliver personalized ads based on your previous visits and analyze the effectiveness of ad campaigns.
    None
    Powered by