AI & Data

Data Migration & ETL

Migrating data between systems is one of the highest-risk operations in enterprise technology. A failed migration means lost records, broken integrations, and costly manual recovery. We handle the full migration lifecycle: source auditing, field-by-field mapping, transformation rule design, incremental migration runs, reconciliation validation, and cutover planning. Whether you are moving from Salesforce to Oracle, migrating a legacy on-prem SQL Server database to PostgreSQL in the cloud, consolidating multiple CRMs after an acquisition, or building an ongoing ETL pipeline that keeps two live systems in sync — we treat data integrity as the non-negotiable deliverable, not an afterthought.

At a glance

Estimated cost

$5,000 – $60,000

fixed project price

Typical timeline

414 weeks

Deliverables

9

included in standard scope

Cost saving vs West

50–70%

Pakistan-based delivery

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What you get

Deliverables

Everything included in a standard engagement. Scope is agreed upfront — no surprises.

  • Source system data audit report (record volumes, schema documentation, data quality assessment)
  • Field-by-field mapping document: source field → destination field, type coercions, transformation rules
  • Data cleansing specification (nulls, duplicates, encoding issues, referential integrity gaps)
  • ETL pipeline or migration scripts — developed and tested in staging
  • Incremental migration runs with row-count and checksum reconciliation at each stage
  • Pre-cutover and post-cutover validation reports
  • Rollback plan and source data snapshot archive
  • Migration runbook with step-by-step cutover instructions
  • Post-go-live monitoring setup for data drift and error alerting

How it works

Our process

Structured delivery means you know what happens at every stage — before we start.

  1. 01

    Source Audit & Scoping

    We connect to the source system and produce a full data audit: total record counts by entity, schema documentation, referential integrity map, data quality issues (nulls, duplicates, encoding problems), and a complexity estimate that drives the migration plan.

  2. 02

    Field Mapping & Transformation Design

    We produce a field-by-field mapping document. For every source field: the destination field, data type coercion required, transformation logic, and the handling rule for null, invalid, or out-of-range values.

  3. 03

    Pipeline Development & Staging Run

    We build the ETL pipeline or migration scripts, run a full migration to a staging environment, and validate row counts, checksums, and a sample of records against the source — nothing moves to production until staging passes.

  4. 04

    Reconciliation & Cutover Planning

    We produce reconciliation reports comparing source and destination counts by entity, document the cutover plan (maintenance window, incremental delta sync, switchover order), and confirm rollback procedures with you.

  5. 05

    Production Cutover & Sign-Off

    We execute the production cutover per the agreed plan, run post-migration validation checks, and deliver a go-live sign-off report with row totals, error logs, and written confirmation of data integrity.

Budget & timing

Investment & timeline

Pakistan-based delivery at a fraction of Western agency rates. Transparent pricing, no retainer traps.

Investment

$5,000 $60,000

per project

Simple database migration (single system, clean schema): USD 5,000–12,000. Multi-system ETL with transformation rules: USD 15,000–35,000. Enterprise migration with compliance and audit trail: USD 35,000–60,000.

Timeline

414 weeks

estimated delivery

Simple migration: 4–6 weeks. Complex multi-system ETL: 8–14 weeks. Enterprise migrations with compliance requirements: 12–20 weeks.

Tools & technologies

What we build with

We pick the right tool for the job — no forced frameworks.

Apache AirflowPrefectDagsterdbt (data build tool)AirbyteFivetranStitchAWS GluePython (Pandas, SQLAlchemy, Petl)SQLShell scriptingPowerShellOracle DatabaseMicrosoft SQL ServerMySQLPostgreSQLMongoDBAWS DynamoDBSQLitePostgreSQLBigQuerySnowflakeRedshiftDatabricksSupabasePlanetScaleNeonCockroachDBClickHouseSalesforce (Data Export, Bulk API, SOQL)HubSpot APIZoho CRM APIMicrosoft Dynamics 365AWS Database Migration Service (DMS)Azure Database Migration ServiceGCP DataflowGreat Expectationsdbt testscustom reconciliation scripts

Who we work with

Industries we serve with this service

Healthcare

Private clinics, specialist practices, allied health providers, telehealth platforms, and health-tech startups — digitising clinical and administrative workflows while navigating data compliance requirements.

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Legal

Law firms, barristers' chambers, legal tech startups, and in-house legal teams — modernising document-heavy, process-intensive operations while meeting strict confidentiality requirements.

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Logistics & Supply Chain

Freight forwarders, 3PLs, courier companies, warehouse operators, and supply chain technology providers — managing complex, time-sensitive operations across multiple locations and partners.

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E-Commerce

Online retail businesses selling physical or digital products — from single-brand Shopify stores to multi-vendor marketplaces and D2C brands scaling to 7+ figures.

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Construction & Trades

Builders, subcontractors, project managers, civil engineering firms, and construction tech startups — digitising site operations, project tracking, and subcontractor coordination.

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Real Estate

Property agencies, property management companies, developers, buyers' agents, and PropTech startups — digitising property listings, lead management, and portfolio administration.

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Education

Private schools, tutoring companies, online course creators, EdTech startups, and vocational training providers — building and scaling digital learning experiences and administrative systems.

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Ready to start your Data Migration & ETL project?

Send us your requirements. We'll clarify the scope, timeline, and cost — no obligation.