---
title: "Cloud Database Migration Case Study | Agility AI"
url: https://agilitytech.ai/case-studies/cloud-platform-migration
description: "Case study: how Agility migrated a platform to the cloud with zero data loss and zero downtime, cutting infrastructure cost and improving reliability."
publisher: Agility (agilitytech.ai)
---

Technology & Consulting

# Enterprise Database Migration & Cloud Data Platform

Migrating a legacy enterprise database to Azure SQL with zero data loss and building a cloud-native AWS automation platform across 15+ enterprise services over a 17-month engagement.

Zero

Data Loss

Across full Azure SQL migration with schema validation and batch processing

17+

Month Engagement

Sustained enterprise platform delivery with continuous value

15+

Services Automated

Across a unified cloud-native AWS data platform

Full

Terraform IaC

Version-controlled infrastructure across all AWS services

## Project Overview

### Industry

Technology & Consulting

### Region

Global

### Project Size

Enterprise: Multi-Service Platform

### Time Frame

17+ Month Engagement

### Technology Stack

Azure SQL

AWS Lambda

Terraform

GitLab CI/CD

Tableau

AWS Glue & Athena

## The Challenge

### Legacy Database and Disconnected Cloud Services

An enterprise technology client operating across 15+ internal services carried significant technical debt from a legacy on-premises database, disconnected cloud infrastructure, and manual data pipeline processes with no monitoring or governance layer. Data handoffs between services relied on ad hoc scripts and manual exports. There was no unified infrastructure-as-code layer, compliance governance was inconsistent, and the absence of CI/CD automation meant deployments were slow, risky, and undocumented.

## Cloud-Native Enterprise Platform

### Cloud-Native Enterprise Platform

We delivered a complete platform transformation: migrating the production database to Azure SQL with zero data loss, rebuilding the entire cloud infrastructure under Terraform IaC, and automating all 15+ enterprise service data pipelines through AWS Lambda, Glue, and EventBridge. Over 17+ months of sustained engagement, every manual process was replaced with an observable, governed, version-controlled automation, with Privacy Impact Assessment compliance built into the reporting layer.

#### Migration Excellence

Completed full Azure SQL migration with zero data loss through phased schema validation, field mapping correction, and transaction management

Implemented full Terraform IaC across all AWS services eliminating all manual infrastructure provisioning

Deployed GitLab CI/CD pipeline for automated, version-controlled infrastructure and application deployments

#### Platform Modernization

Automated data pipelines across 15+ enterprise services using AWS Lambda, Glue, and EventBridge

Built REST API and Google Sheets API integrations replacing all manual data handoff processes

Delivered Tableau dashboards with Privacy Impact Assessment compliance embedded in reporting workflows

## Challenges & Solutions

### Zero-Tolerance Database Migration

#### Problem

Migrating a production enterprise database to Azure SQL with no tolerance for data loss required precise schema mapping, type alignment, and reliable rollback capability without halting operations.

#### Solution

Implemented phased batch migration with schema validation gates, automated error handling, and transaction management. Each batch validated against source before the next was committed.

#### Impact

Zero data loss confirmed across the full production migration

### Fragmented Cloud Services with No Governance

#### Problem

15+ services operated independently with no unified infrastructure layer, making deployments inconsistent, ungovernable, and impossible to audit or replicate across environments.

#### Solution

Rebuilt the entire cloud infrastructure using Terraform IaC with GitLab CI/CD, enabling version-controlled, repeatable deployments with a complete change history across all services.

#### Impact

Full Terraform IaC coverage with automated deployment governance across all 15+ services

### Manual Data Pipelines with No Monitoring

#### Problem

Data handoffs between enterprise services relied on manual exports, spreadsheets, and ad hoc scripts with no scheduling, monitoring, or alerting. Failures went undetected until downstream impact.

#### Solution

Built automated AWS Glue and Lambda pipelines with EventBridge scheduling and CloudWatch monitoring, replacing all manual processes with observable, alerting-enabled automation.

#### Impact

15+ services fully automated with real-time monitoring and failure alerting

### Compliance and Privacy Governance Gaps

#### Problem

No formal Privacy Impact Assessment process existed for data handling, and API credentials were managed inconsistently across services, creating regulatory risk and security exposure.

#### Solution

Embedded PIA compliance into Tableau reporting workflows and implemented automated credential rotation for all API integrations with centralised secrets management.

#### Impact

Full compliance governance maintained across a 17+ month production engagement

## Ready to Modernize Your Cloud Infrastructure?

Contact our cloud engineering team to discover how a fully governed, IaC-driven platform can transform your enterprise data operations.

[Get Started Today](https://agilitytech.ai/contact)