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Data Transformation & ETL Pipelines | Multi-Cloud Data Engineering

Enterprise data transformation and analytics infrastructure. Build production-grade ETL/ELT pipelines, modern data warehouses, and real-time streaming analytics across AWS, Azure, and Google Cloud.

Enterprise data transformation and analytics infrastructure for data-driven decision making

Your data holds the answers — but only if it’s accessible, reliable, and properly structured. Siloed legacy systems, inconsistent formats, and manual processes make it hard for teams to extract the insights they need.

Our data engineering teams design and build production-grade data pipelines across AWS, Azure, and Google Cloud, transforming raw data from disparate sources into clean, actionable intelligence that powers analytics, reporting, and machine learning.

Whether you’re consolidating legacy systems, building a modern data warehouse, implementing real-time streaming analytics, or preparing datasets for AI/ML, we deliver scalable, automated data transformation infrastructure with built‑in data quality, governance, and observability.

Strategic data transformation for operational intelligence

We architect end-to-end data platforms that turn fragmented data estates into unified, queryable foundations for business intelligence, advanced analytics, and data science.

Our data transformation capabilities

  • ETL/ELT pipeline development

Batch and real-time ingestion, transformation, and loading using Apache Airflow, AWS Glue, Azure Data Factory, and Google Cloud Dataflow.

  • Data warehousing & lakehouse architecture

Modern analytics platforms with Snowflake, Amazon Redshift, Azure Synapse Analytics, Google BigQuery, and Databricks.

  • Real-time streaming pipelines

Event-driven data processing with Apache Kafka, AWS Kinesis, Azure Event Hubs, Google Pub/Sub, and Apache Flink.

  • Data quality & validation frameworks

Automated data profiling, schema validation, anomaly detection, and reconciliation checks.

  • Master data management (MDM)

Golden record creation, entity resolution, and data deduplication across systems.

  • Data catalog & metadata management

Searchable data inventories with AWS Glue Data Catalog, Azure Purview, Alation, and Collibra.

  • API & integration middleware

RESTful APIs, GraphQL, and webhook handlers to expose transformed data to applications and partners.

Modern data architecture across AWS, Azure & Google Cloud

Our AWS Solutions Architect-certified data engineers bring deep multi-cloud data platform expertise to every engagement, designing for cloud-native performance and cost efficiency.

AWS data services

  • Ingestion — S3, Kinesis Data Streams, Kinesis Firehose, Database Migration Service (DMS)
  • Processing — Glue ETL, EMR (Spark, Hive), Lambda for serverless transformations, Step Functions for orchestration
  • Storage — S3 data lakes, Redshift data warehouse, Athena for SQL on S3
  • Governance — Lake Formation, Glue Data Catalog, Macie for data discovery

Capabilities

What we deliver

ETL / ELT pipelines

Reliable, monitored data pipelines that extract from source systems, transform to target schemas, and load with full error handling.

Data warehouse design

Dimensional models and warehouse schemas optimised for analytical queries — on Snowflake, BigQuery, Redshift, or Databricks.

Real-time streaming

Event-driven data processing using Kafka, Kinesis, or Pub/Sub for low-latency transformation and delivery.

Data quality & governance

Validation rules, lineage tracking, and data quality monitoring that give you confidence in the data you're making decisions from.

Why iCentric

A partner that delivers,
not just advises

Since 2002 we've worked alongside some of the UK's leading brands. We bring the expertise of a large agency with the accountability of a specialist team.

  • Expert team — Engineers, architects and analysts with deep domain experience across AI, automation and enterprise software.
  • Transparent process — Sprint demos and direct communication — you're involved and informed at every stage.
  • Proven delivery — 300+ projects delivered on time and to budget for clients across the UK and globally.
  • Ongoing partnership — We don't disappear at launch — we stay engaged through support, hosting, and continuous improvement.

300+

Projects delivered

24+

Years of experience

5.0

GoodFirms rating

UK

Based, global reach

How we approach data transformation & etl pipelines | multi-cloud data engineering

Every engagement follows the same structured process — so you always know where you stand.

01

Discovery

We start by understanding your business, your goals and the problem we're solving together.

02

Planning

Requirements are documented, timelines agreed and the team assembled before any code is written.

03

Delivery

Agile sprints with regular demos keep delivery on track and aligned with your evolving needs.

04

Launch & Support

We go live together and stay involved — managing hosting, fixing issues and adding features as you grow.

Get in touch today

Book a call at a time to suit you, or fill out our enquiry form or get in touch using the contact details below

iCentric
April 2026
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