
Data Migration Experts
to move critical systems with confidence, matched in minutes by AIHire experts who plan and execute database, application and cloud migrations, from source assessment and mapping to validation and cutover. FRATCH connects you with vetted, available freelancers whose experience fits your systems, data risks and delivery goals.
Meet FRATCH Experts who have recently used Data Migration
Christel Kristin R.
Last position:
SAP Senior / Lead Consultant / Team Lead / Trainer at Mercator Leasing GmbH
- Merging several systems, consulting for SAP Finance / Controlling overall, FI/CO, DRC, F2R, R2R, incoming and outgoing invoice mapping and target postings of contracts and BP from source systems. CAMt53, creation of the technical concept for the migration of various business areas, creation of migration templates and FMD Files, support with data migration, consolidations and data entry, test management for the SAP part, test support, training of end users in all FI and CO areas, FI-AA
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
- Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
- IT interim management and strategic consulting
Christopher Z.
Last position:
IT Product Manager / Product Owner at Leading German financial services provider
Banking & Invest – Replacement of digital application journeys
Shared product responsibility for the digital application journeys (accounts, investment accounts, home financing) of a large financial services provider working with three partner banks – from the prioritized backlog and partner bank integrations to regulatory requirements (WpHG, ESMA, BFSG); contributed to the introduction of MS Copilot and AI use cases.
Result: Continued to develop the platform reliably across around 30 releases over 2.5 years; launched two new partner processes and met regulatory deadlines.
Florian R.
Last position:
Global Program Lead, Post-Acquisition Integration at [Client confidential]
Medical technology – Digital Technology | Medical imaging
- Integrated the acquired platform into clinical medical imaging processes, with an investment volume in the low double-digit m€ range
- Ensured interoperability of systems and processes across hospitals and outpatient facilities while customer operations continued; HL7, DICOM, Amazon S3 & Redshift, SharePoint, JIRA
- Led the programme across functions with product, technology and service teams, including cost control, synergy tracking and identification of further AI use cases in medical imaging
Paul W.
Last position:
Enterprise Architect at ePrimo GmbH
Led the end-to-end integration and migration architecture for decommissioning SAP IS-U market communication and transitioning to Salesforce Marketing Cloud (SFMC) with E.ON IT Services — covering regulated EDIFACT market messaging, a three-phase data migration (transfer of market message inventory after cutover), redesign of market communication processes, and full GDPR and German energy-market compliance.
- Designed the three-tier target architecture (SAP IS-U → NScale B2B gateway → SFMC) processing 50,000–100,000 EDIFACT messages daily within sub-5-minute SLAs.
- Architected the three-phase data migration: 36 months of historical data, zero-loss cutover of in-flight market messages, and near-real-time CDC synchronization.
- Delivered secure, BDEW/GDPR-compliant integration (AS2/OFTP2, RFC/IDoc, REST APIs, OAuth 2.0, Azure AD, AWS S3) achieving >99.5% uptime, <0.1% migration discrepancy, and RTO <4 hours.
- Applied BPMN to model and optimize the market communication processes.
Technologies: SAP IS-U, NScale, Salesforce Marketing Cloud, EDIFACT, OAuth 2.0, Azure AD, AWS S3, BPMN, Jira, Confluence, Draw.io
Geoffrey G.
Last position:
Lead Researcher at York St John Business School
- Independently designed, conducted and evaluated a research project examining dynamic management capabilities (DMCs) in the implementation of HR practices at different management levels (top, middle and frontline management).
- Focus on the strategic role of frontline management in implementing effective HRM measures.
- Self-initiated project with academic collaboration involving York St John University, Robert Kennedy College and the University of Cambridge.
Bruno P.
Last position:
Product Owner
Design and implementation of a “unified-commerce” platform for SMEs to sell and deliver multi-product bundles
Achievements: Designed and delivered a fully functional, CPQ-based “buy flow” process for configuring and selling multi-product bundles on time, and secured customer approval within the specified 90-day timeframe. Successfully tested the integration of various interface services for customer search, customer data enrichment, address validation, service qualification, phone number validation, credit checks, appointment selection and quote-to-order transition.
Responsibilities:
- Strategic goal delivery: Translating strategic customer goals into action and delivering them (e.g. release content, business value).
- Backlog management: Creating and refining backlog items (Initiatives, Epics, User Stories, Defects) in close coordination with the project team and client.
- Prioritization & releases: Owning Product Backlog prioritization and delivery of defined release goals.
- Deliverable tracking: Tracking work completed by suppliers and the client.
- Roadmap & release planning: Developing and delivering roadmaps and release plans together with the client.
- Scope ownership: Owning the contractually agreed scope of work.
- Claim management: Proactive claim and change management with the client.
- Team coordination: Managing and coordinating the development team.
- Leveraging synergies: Using synergies between client projects and product development.
- Proposal preparation: Preparing proposals (with supervision) and presenting them in person to clients and partners.
Skills: Developing, communicating and delivering product visions; Product Backlog Management; Stakeholder Management; Regular reporting to management and steering committees; Requirements analysis & engineering; Planning and documenting workshops; Functional leadership and coordination of (distributed) project teams and external service providers; Epic Management; User Story specifications; Creating use cases, supporting software testing and User Acceptance Testing (UAT); Release Management and sprint planning; TO-BE process design; Process optimization; Planning, designing and specifying interfaces to existing and new systems; Identifying, assessing and managing project risks; Proactive claim and change management; Facilitating sprint planning and reviews; Data migration; Scrum; Kanban; REST API; JSON; XML; BPMN; UML; Jira; Confluence
Kossi A.
Last position:
Project Manager at Deutsche Bank
Migration of an existing application to a new IT infrastructure.
- Managed all project activities (infrastructure, applications, data, security, architecture)
- Planned complex network architectures with security requirements
- Designed and coordinated firewall configurations
- Planned and managed interfaces between ERP, cloud, and third-party systems
- Coordinated middleware solutions (e.g. SAP Integration Suite, MuleSoft, Boomi)
- Defined data flows, mapping rules, and integration architectures
- Managed data migrations and master data harmonization
- Coordinated with business departments, IT teams, service providers, and external partners
- Team size: International team of 35 employees – Germany | Poland | India | USA
- Languages: English
Tools: Microsoft Office (Word, Excel, PowerPoint, Project), Brainloop, Jira, Confluence, MS SharePoint
Joaquim L.
Last position:
SAP Senior ABAP Developer
SAP Data Migration Greenfield QM
In the QM module project, the focus was on migrating inspection plans and transferring Dynpro applications from the ECC system to the HANA system while adhering to development guidelines and clean code principles. The project involved the use of technologies and concepts such as ABAP Objects (ABAP OO), Clean Code practices, SMOD/CMOD enhancements, User Exits, Function Exits, BAdIs, interfaces, and classes. Writing complex reports for download and upload of change pointer information of inspection plan header.
Joachim A.
Last position:
HubSpot Project Manager, Tracking + Analytics Expert at Swiss Post
- Create a tracking concept for Google Tag Manager and Google Analytics, including the data layer, events, triggers, and reporting
- Manage the project team (developers, designers, performance)
- Communication interface between stakeholders and digital specialist departments
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Michael R.
Last position:
Project Manager at Payone GmbH (Worldline AG)
- Goal/Motivation: PAYONE urgently needs a 360° view of its customers. PAYONE has not had an overarching master data strategy so far. It is not possible to identify customers across all relevant systems.
The organization should be enabled to identify customers across all relevant systems. Establishing the basis for master data management at PAYONE
- Challenge: Due to company acquisitions, the system landscape is very heterogeneous. The company is very dynamic and burdened with many system harmonization and integration projects, meaning resource shortages and changes in project priorities repeatedly make this an almost impossible task.
Due to BaFin findings, the project has a central task and role. The initial focus is on migrating all customers, including their AML/KYC data, from the master-data-leading backend systems to Salesforce. This is intended to resolve one of the largest findings and establish the relevant ODD/EDD processes.
In addition, customer data must be harmonized in Salesforce. Some customers were entered multiple times as a result of earlier migrations. The aim is for only one customer record to remain in Salesforce and for the relevant information from the backend systems to show which products the customer uses and in which processing systems they receive Payone services.
Project: ONE Customer
Budget: 1,5 Mio. €
Team: 10/30 employees (full-time/part-time); 4 vendors/providers
Integration: 8 (subsystems/interfaces)
Applications: Salesforce; SAP S4/HANA; in-house developments
Tools: MS Office; Jira, Confluence, Sharepoint
Methods: Hands-on; Agile (SAFe); Prince2
Nico B.
Last position:
Project Manager at Deutsche Glasfaser Holding GmbH
- Act as project manager and first point of contact on the project side
- Coordinate with teams to ensure required information is available for project completion
- Ensure both general contractors and internal teams store information correctly
- Monitor compliance with the project checklist and follow-up
- Plan and execute the project plan
- Perform budget and project calculations based on expected price calculations and estimated effort
- Participate in project meetings
- Review progress of Actoom (external partner handling data)
- Answer queries from Actoom regarding data migrations to retrieve data from internal partners or general contractors
- Contact subcontractors to obtain missing information
- Communicate with insolvent companies to obtain missing information
Waseem S.
Last position:
Solution Architect / Subject Matter Expert at FRMCS Device Manufacturer
Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-world use cases: preparation of the requirements specifications for TOBA and the associated test specifications.
Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS
Ebru A.
Last position:
Product Analytics & App Tracking Consultant at EnBW mobility+ AG & Co. KG
- Product Analytics, Mobile App Tracking & Tracking Governance (B2C Mobility App) – agile project management (Scrum/Kanban)
- Product Ownership for Product Analytics and Mobile App Tracking of the EnBW mobility+ app; gathering, prioritizing, and translating business requirements into actionable concepts and Azure DevOps user stories with acceptance criteria.
- Derivation of tracking requirements when introducing new app features (including Resilient Map), definition of tracking parameters (screens, events, custom definitions), and ensuring privacy-compliant tracking (Firebase, GA4, Adjust) based on the tracking concept.
- Design and adaptation of dashboards and funnel reporting for campaigns (GA4 validation, onboarding and order flow analyses, conversion funnels, charging start flow) to identify drop-off points and optimization potential.
- Management of the technical raw data export (Adjust to BigQuery) and connection to the data warehouse/data lakehouse, including data mapping; collaboration with international development teams, Data Engineering, Marketing/Sales, and Product Management.
- Establishment of standardized tracking architecture, naming conventions, and governance; analysis and expansion of tracking (new features and “blind spots”), test design, handover to testers, and quality assurance and approval before releases; documentation in Conceptboard.
Discover over 15,000 top freelancers
Statistics of experts using Data Migration
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
3 years

Positions per freelancer
15

Top business areas
Information Technology, Project Management, Product Development

Top industries
Information Technology, Professional Services, Banking and Finance

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
89%
Master's degree or higher
50%
Doctorate
4%

Certifications per freelancer
4

Most common languages
German, English, French

Speak two or more languages
96%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts using Data Migration
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 5 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Migration experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (89%)
- Professional Services (58%)
- Banking and Finance (50%)
- Manufacturing (49%)
- Retail (41%)
- Automotive (40%)
- Telecommunication (32%)
- Transportation (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Migration Covers
Data Migration moves information from one storage system, application or platform to another while preserving meaning, quality and access. It can support a cloud transition, a new enterprise application, a database replacement, a merger or the retirement of legacy software. The work includes discovery, transformation, transfer, validation and controlled cutover.
Typical Migration Work
- Moving relational databases to cloud services or modern platforms
- Consolidating data after mergers, acquisitions or system changes
- Migrating customer, finance, product and operational records
- Replacing legacy applications without losing business history
- Building repeatable pipelines for staged or ongoing transfers
The right approach depends on data volume, dependencies, downtime limits, security needs and the condition of the source systems.
Tools And Ecosystem
Professionals work across SQL and NoSQL databases, data warehouses, lakehouses and cloud storage. Common tools include SQL, Python, ETL and ELT frameworks, orchestration services, replication tools and cloud-native migration utilities from AWS, Microsoft Azure and Google Cloud. They also use profiling, schema comparison, reconciliation and monitoring tools to control risk.
When Companies Need Help
- Source data is undocumented, duplicated or inconsistent
- A cloud or ERP migration needs a clear execution plan
- Internal teams lack capacity for mapping, testing or cutover
- A legacy database must be retired without disrupting operations
Freelance expertise is useful when the project has a fixed migration window, several connected systems or strict requirements for auditability and business continuity.
Skills That Matter
Strong specialists combine data modelling, SQL, scripting and pipeline design with careful project control. They understand schemas, keys, dependencies, APIs, file formats, access controls and data quality rules. They can define mapping specifications, migration runbooks, rollback plans and reconciliation checks that business teams can review.
Communication is equally important. Migration decisions affect finance, operations, customer service and compliance, so professionals must explain trade-offs clearly and coordinate with system owners.
Signs Of Quality
A reliable professional starts with a source assessment instead of copying records blindly. They establish ownership, classify sensitive data, document transformations and test representative samples before a production move. They measure completeness and accuracy through reconciliation, not visual inspection alone.
Look for experience with the specific source and target technologies, realistic cutover planning and evidence of handling failed loads or changing requirements. Good delivery leaves behind documentation, repeatable scripts, monitoring and a support plan for the period after migration.
Frequently asked questions
What clients ask us most about Data Migration — answered in short.
Data Migration is used to move structured or unstructured information between databases, applications, storage environments and cloud platforms. Companies use it for system replacement, cloud adoption, consolidation, acquisitions and the retirement of legacy software.
Data Migration usually moves data from a source system to a target system as part of a defined transition. Data integration connects systems so information can continue to flow between them, often as an ongoing process rather than a one-time change.
A strong Data Migration specialist often brings SQL, data modelling, ETL or ELT, scripting and cloud knowledge. Experience with APIs, database administration, data governance, security, testing and project coordination is also valuable because migrations affect more than the transfer step.
The right level for Data Migration depends on the number of source systems, data quality, dependencies and tolerance for downtime. A straightforward transfer may need focused delivery support, while a regulated or highly connected environment calls for someone who can own discovery, testing, cutover and recovery planning.
Data Migration can often be delivered remotely when secure access, documentation and communication routines are available. On-site work may help during workshops, hardware changes or a sensitive cutover, but access controls and clear ownership matter more than location for many projects.
Before engaging a Data Migration specialist, document the source and target systems, business owners, expected data sets, dependencies and cutover constraints. Existing schemas, sample extracts, security requirements and known data-quality problems help the specialist estimate risk and shape a practical plan.
Quality Data Migration work is traceable, tested and measurable. Ask how the professional handles profiling, mapping, reconciliation, sensitive fields, failed loads, rollback and post-cutover support rather than judging success only by whether records appear in the target system.
Data Migration from a legacy system may use a big-bang cutover, phased transfer, parallel running or incremental replication. The suitable approach depends on system dependencies, downtime tolerance, data quality and whether the business can validate each stage before the old environment is retired.
The average hourly rate of freelancers who have used Data Migration in their recent projects is 106 €, which corresponds to a daily rate of about 848 € based on an 8-hour working day.
Of the freelancers who have used Data Migration in their recent projects, 89% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 4% hold a doctorate.
On average, freelancers who have used Data Migration in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers who have used Data Migration in their recent projects are German (99%), English (95%), and French (16%).
The most common industries among freelancers who have used Data Migration in their recent projects are Information Technology (89%), Professional Services (58%), and Banking and Finance (50%).
The most common business areas among freelancers who have used Data Migration in their recent projects are Information Technology (99%), Project Management (81%), and Product Development (64%).
Main locations of FRATCH Experts, who have recently used Data Migration
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Countries:
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