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ETL & Data Integration

Enterprise ETL Pipeline Design & Data Integration Architecture

Reliable Data Pipelines That Keep Your Enterprise Systems in Sync

Disconnected systems, failed data syncs, silent pipeline errors, and stale customer records are not just technical problems — they are business problems. Every time your CRM receives incomplete data, your marketing automation fires on outdated segments, or your analytics dashboard shows numbers that do not match your source systems, decisions get made on broken foundations.

I design and deliver enterprise ETL pipelines and data integration architectures that move data reliably, transform it correctly, and keep your CRM, MDM, analytics, and operational systems continuously in sync — using Informatica, MuleSoft, Talend, and Apache Kafka.

With 15 years of data integration delivery across complex enterprise environments, I build pipelines that are not just functional at go-live — they are monitored, resilient, and maintainable long after the project closes.

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What I Do

What is ETL & Enterprise Data Integration?

  • ETL
  • Integration

ETL — Extract, Transform, Load — is the process of moving data from source systems, applying the transformations needed to make it consistent and usable, and loading it into target platforms such as a CRM, data warehouse, MDM hub, or analytics layer. Done well, ETL is the invisible backbone of every reliable data platform. Done poorly, it is the source of every unexplained discrepancy your business teams spend hours debugging.

  • ETL pipeline design and delivery using Informatica PowerCenter and Informatica IICS
  • Data transformation logic design — cleansing, standardisation, enrichment, and validation
  • Pipeline monitoring, alerting, and observability framework design
  • Batch and scheduled pipeline development with error handling and retry logic

Data integration is the broader discipline of connecting enterprise systems — CRM platforms, ERP systems, MDM hubs, marketing automation tools, analytics platforms, and cloud services — so that data flows between them accurately, securely, and in the right sequence.

Integration architecture determines whether your HubSpot and Salesforce instances share a unified customer record, whether your Reltio MDM golden record propagates correctly to all downstream systems, and whether your AI models receive the clean, current data they need to produce reliable predictions.

  • API integration architecture design — REST, SOAP, GraphQL, and webhooks
  • MuleSoft Anypoint Platform integration design and delivery
  • SAP integration architecture — SAP CX, SAP MDG, and third-party connectivity
  • CRM-to-CRM and CRM-to-MDM synchronisation architecture
My services

Introduce Best
ETL & Data Integration Services

ETL Pipeline Design & Delivery

Designing and delivering enterprise ETL pipelines using Informatica PowerCenter, Informatica IICS, and Talend — covering data extraction, transformation logic, quality validation, and load optimisation for CRM, MDM, and analytics targets.

MuleSoft Integration Design

Architecting and delivering MuleSoft Anypoint Platform integrations — designing API-led connectivity frameworks, reusable integration assets, and enterprise service bus patterns that reduce integration complexity across your application landscape.

Real-Time Data Integration & Streaming

Building event-driven, real-time data integration architectures using Apache Kafka and Apache Spark — enabling live customer data synchronisation across CRM, MDM, and operational systems with sub-second latency.

CRM & MDM Data Synchronisation

Designing the synchronisation architecture that keeps your HubSpot, Salesforce, SAP CX, and Reltio MDM platforms aligned — with conflict resolution logic, survivorship rules, and data lineage tracking to ensure every system reflects the same trusted customer record.

API Integration Architecture

Designing secure, scalable API integration frameworks connecting CRM platforms, ERP systems, MDM hubs, and marketing tools — using REST APIs, webhooks, OAuth 2.0, and SSO to ensure reliable, authenticated data exchange.

ETL Modernisation & Cloud Migration

Migrating legacy on-premise ETL pipelines to modern cloud-native platforms — assessing existing Informatica or custom pipeline estates, redesigning for cloud architecture, and delivering a modernised integration layer on Azure, AWS, or GCP.

how to get started

From Integration Complexity to
Reliable, Governed Data Flows

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01
Integration Landscape Assessment

We map your current data integration environment — source systems, existing pipelines, data volumes, latency requirements, failure points, and the business impact of integration gaps. You get a clear picture of what is working, what is broken, and what needs to be redesigned.

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Integration Architecture & Pipeline Design

I design the target-state integration architecture tailored to your platforms, data volumes, and business requirements — selecting the right tools, defining transformation logic, data quality rules, and the monitoring framework that will keep pipelines reliable in production.

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Build, Test, Deploy & Handover Text

I lead or support pipeline development, testing, and production deployment — with full documentation, monitoring configuration, error alerting, and knowledge transfer to your team so they can confidently operate and extend the integration landscape going forward.

Why Work With Me

An ETL & Integration Architect
Who Understands Your Entire Data Ecosystem

Most ETL consultants focus on the pipeline in isolation. I design integrations in the context of the full data ecosystem — understanding how your CRM architecture, MDM framework, data governance standards, and AI data requirements all depend on clean, reliable, well-governed data movement.

Informatica PowerCenter & IICS 94%
MuleSoft Anypoint Platform 89%
Talend Data Integration 88%
REST API & Webhook Integration 93%
ETL Modernisation & Cloud Migration 90%
CRM & MDM Data Synchronisation 95%
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real testimonials

What They
Say About
My ETL & Integration Work?

Director of Data Engineering
Anil redesigned our entire customer data integration layer — replacing a fragile set of custom scripts with a proper Informatica pipeline architecture. Data quality improved immediately and our CRM team stopped spending half their week fixing sync errors. The difference was night and day.
Director of Data Engineering
MarTech Platform Company, 2024
Head of Data Architecture
We needed a real-time integration between our Salesforce CRM and our Reltio MDM platform. Anil designed the Kafka-based event streaming architecture, handled the conflict resolution logic, and delivered a system that has been running without a major incident since launch.
Head of Data Architecture
Retail Enterprise, 2023
VP of Technology & Data
Anil led our Informatica to cloud migration — moving 15 years of ETL pipelines to Informatica IICS on Azure without a single data loss incident. His preparation, testing rigour, and documentation made a complex migration feel managed and controlled throughout.
VP of Technology & Data
Financial Services Organisation, 2024

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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.

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