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.
Across full Azure SQL migration with schema validation and batch processing
Sustained enterprise platform delivery with continuous value
Across a unified cloud-native AWS data platform
Version-controlled infrastructure across all AWS services
Technology & Consulting
Global
Enterprise — Multi-Service Platform
17+ Month Engagement
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.
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.
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
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
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.
Implemented phased batch migration with schema validation gates, automated error handling, and transaction management — each batch validated against source before the next was committed.
Zero data loss confirmed across the full production migration
15+ services operated independently with no unified infrastructure layer, making deployments inconsistent, ungovernable, and impossible to audit or replicate across environments.
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.
Full Terraform IaC coverage with automated deployment governance across all 15+ services
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.
Built automated AWS Glue and Lambda pipelines with EventBridge scheduling and CloudWatch monitoring, replacing all manual processes with observable, alerting-enabled automation.
15+ services fully automated with real-time monitoring and failure alerting
No formal Privacy Impact Assessment process existed for data handling, and API credentials were managed inconsistently across services — creating regulatory risk and security exposure.
Embedded PIA compliance into Tableau reporting workflows and implemented automated credential rotation for all API integrations with centralised secrets management.
Full compliance governance maintained across a 17+ month production engagement
Contact our cloud engineering team to discover how a fully governed, IaC-driven platform can transform your enterprise data operations.
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