AI, Data & Intelligence
Data Migration
Legacy data migration services, cloud database migration, database schema translation and zero-downtime data cutover.
Capability overview
What data migration involves
Data migration moves legacy enterprise data assets safely to modern cloud databases and data platforms. We manage end-to-end data migrations from on-premises Oracle, SQL Server and DB2 databases to cloud environments (Snowflake, AWS Aurora, PostgreSQL).
We engineer automated data extraction, schema conversion, data transformation and high-speed cloud loading pipelines.
Our data migration specialists perform rigorous pre- and post-migration data validation drills, ensuring 100% data fidelity with zero operational downtime.
Throughout the data migration engagement, our engineering team works alongside your internal stakeholders to establish custom operational workflows, clear delivery milestones and automated validation gates. We focus on heterogeneous database migration and schema translation & conversion, ensuring that every component is documented, secure and aligned with your broader technology strategy.
We provide dedicated engineering oversight, automated telemetry tracking and structured technical handovers for heterogeneous database migration and schema translation & conversion, ensuring long-term operational resilience.

What is included
What the engagement covers
Heterogeneous Database Migration
Migrating legacy databases (Oracle, SQL Server) to cloud-native databases (PostgreSQL, Aurora, Snowflake).
Schema Translation & Conversion
Converting database schemas, stored procedures, triggers and data types for target cloud databases.
High-Speed Bulk Data Transfer
Utilizing AWS Snowball, Azure Data Box or high-throughput network pipelines for multi-terabyte data transfers.
Zero-Downtime Replication & Cutover
Setting up continuous CDC data replication to maintain real-time sync during final cutover windows.
How we work
How we deliver data migration
Discovery & Data Assessment
Auditing legacy database sizes, table relationships, stored procedures, dependencies and migration risks.
Migration Strategy & Mapping
Drafting schema conversion mappings, data cleansing rules and cutover execution timelines.
Automated Migration Pipeline Setup
Engineering high-speed data extraction, conversion and bulk-loading scripts using AWS DMS or custom code.
Parallel Testing & Validation
Running dual-database parallel operation tests and automated row-by-row data reconciliation scripts.
Cutover & Go-Live Execution
Executing final delta sync and DNS/connection string cutover during scheduled off-peak maintenance windows.
Related capabilities
Related capabilities in Data Engineering & Platforms
Data Quality Management
Automated data quality profiling, data cleansing pipelines, data validation rules and anomaly monitoring for enterprise data.
Data Governance
Enterprise data governance frameworks, data stewardship policies, data privacy compliance and data lineage tracking.
Master Data Management
Centralizing master enterprise entities (customer, product, vendor) into single, authoritative Golden Records.
Metadata Management
Centralized metadata indexing, business glossaries, technical metadata extraction and automated data discovery platforms.
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Questions & answers
Questions about Data Migration
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionWe use Change Data Capture (CDC) replication to sync changes continuously until automated row-by-row checksum validation confirms 100% data parity.
Data migration projects are quoted on a fixed-fee milestone basis based on database count, total storage volume and schema complexity.
Yes, our database engineers translate legacy stored procedures and triggers into target database SQL or modern application code.
Next step
Discuss data migration with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.