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Data Migration Experts

in minutes from over 15,000 CVs with the power of AI

Hire experts who plan clean cutovers, map legacy fields to new schemas, and move data between databases, ERPs, CRMs, and cloud systems. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts who have recently used Data Migration

Verified expert

Wolfgang Orgler

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DI

Freilassing
Wolfgang Orgler

Last position:

Business Analyst at DekaBank

Lead Business Analyst – Analysis and optimization of private banking processes

  • Responsibility for the business analysis and further development of business processes in private banking, with a focus on CRM, customer data management, and master data processes

  • Carrying out a comprehensive business process analysis to identify optimization potential, business gaps, and improvement opportunities along the customer lifecycle

  • Gathering, analyzing, and structuring business requirements in close cooperation with business units, management, IT architecture, and development teams

  • Creating and aligning business concepts, process models, user stories, and requirement documentation as the basis for technical implementation

  • Analyzing and optimizing existing master data processes with a focus on data quality, responsibilities, and efficient data maintenance

  • Designing and further developing CRM customer data processes while taking regulatory requirements and business goals into account

  • Planning and moderating workshops with business, IT, and stakeholders for requirements analysis, process design, and solution finding

  • Managing requirements and ensuring consistent communication between business and IT

  • Using AI-supported analysis tools to help with requirements analysis, structuring information, and improving documentation quality

Verified expert

Florian Ripper

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Principal, Program & Transformation Lead

Frankfurt am Main
Florian Ripper

Last position:

Global Programme Lead, Ecosystem Separation at Merck Group

  • Electronics – Surface Solutions | Carve-out of IT, data and system landscape*

  • Separation of a full business division's IT, data and system landscape following divestment; centrally governed investment envelope in the three-digit m€ range

  • Laboratory notebook and laboratory analytics platform stream: Palantir Foundry, Snowflake, Signals Notebook, Power BI and connected laboratory instrumentation; site transition completed without interruption to laboratory operations

  • Decision authority and escalation point for business, IT infrastructure, IT security and vendors; separation executed across globally distributed users and systems, handed over on schedule

Verified expert

Thomas Polanski

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Project Manager, Product Owner & AI Consultant, AI Transformation - ERP · Shop · Marketing

Leipzig
Thomas Polanski

Last position:

Project Manager & Product Owner – M&A Integration at voxa c/o IC Music and Apparel GmbH

  • Project management of the legal and system-side integration of Taschenkaufhaus into the Voxa group: conversion of all contracts, accounts, and system access rights on the defined cutover date
  • Migration from Microsoft Dynamics NAV 2009 to 2013: analysis of all existing interfaces, redefinition of processes, and coordinated go-live without interrupting operations
  • Integration of the complaints and returns process into MS Dynamics NAV 2013; major process simplification through standardization
  • Introduction of a new POS system (Shopify POS) in all stores: requirements analysis, configuration, rollout, and employee training
  • Use of n8n automation workflows for data reconciliation between marketplaces and ERP; manual processes significantly reduced
Verified expert

Waseem Sattar

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Enterprise Solution Architect |5G / Mobile Communications|Mission Critical Services (MCx)|IMS and SIP

Frankfurt am Main
Waseem Sattar

Last position:

Solution Architect / Subject Matter Expert at FRMCS terminal device manufacturer

Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.

Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS

Verified expert

Burhan Dinler

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Experienced IT and AI Architect

Niederkassel
Burhan Dinler

Last position:

Enterprise Architect & Solution Architect at DB Netz AG

With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.

  • Capture current architectures of existing systems as well as methodical consulting and development of target architectures
  • Deepen and maintain the building plan / target IT landscape
  • Implement technical architecture concepts & architecture descriptions
  • Implement migration concepts for updating and further developing the platform and information systems
  • Assess submitted improvement suggestions as part of the project
  • Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
  • Create a compatibility matrix of the components in use and compare dependencies of specific versions
  • Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
  • Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
  • Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
  • Advise the Release Train Engineer / Project Manager in identifying project risks
  • Advise the System Architect Engineers in steering the implementation of the concept
  • Implement the IT concept
  • Document the infrastructure

Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot

Verified expert

Jürgen Flieg

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Executive Interim Manager - Business Transformation

Gaienhofen
Jürgen Flieg

Last position:

Interim Manager HCM / HR Payroll · Team and Project Lead at TK Elevator GmbH

  • Direct reporting line to the HR Director Germany; leading an HCM IT and transformation assignment in a SAP ERP / S/4HANA hybrid landscape.
  • Reality check and solid documentation of end-to-end payroll/processing processes; development of an HCM IT roadmap as well as clarification of roles, critical points and interfaces.
  • Translating business requirements into architecture-compliant IT solutions; steering SAP in-house, development, key users and external partners.
  • Activating the team through knowledge transfer, a skills matrix and a training concept; preparing the organizational transition toward a shared service center.
Verified expert

Bruno Petrovic

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Independent Consultant for Digital Products & Processes

Freilassing
Bruno Petrovic

Last position:

Product Owner

Concept and implementation of a unified-commerce platform for SMEs for selling and building multi-product bundles

Successes: On-time concept, delivery, and customer acceptance of a 100% functional, CPQ-based buy flow process for configuring and selling multi-product bundles within the given 90-day time frame. Successfully tested integration of various interface services for the following areas: customer search, customer data enrichment, address validation, service qualification, phone number validation, credit check, appointment selection, and quote-to-order transition.

Responsibilities:

  • Strategic target delivery: deriving and implementing strategic customer goals (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 customer.
  • Prioritization & releases: responsibility for prioritizing the product backlog and delivering defined release goals.
  • Deliverable tracking: tracking work results on both the supplier and customer side.
  • Roadmap & release planning: developing and implementing roadmaps and release plans together with the customer.
  • Scope responsibility: responsibility for the contractually agreed scope of services.
  • Claim management: active claim and change management toward the customer.
  • Team coordination: steering and coordinating the development team.
  • Using synergies: making use of synergies between customer projects and product development.
  • Offer preparation: preparing offers (with supervision) and presenting them on site to customers and partners.

Skills: development, communication, and implementation of 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, support with software tests and user acceptance testing (UAT); release management and sprint planning; design of target processes; process optimization; planning, concept, and specification of interfaces to existing and new systems; identification, assessment, and steering of project risks; active claim and change management; facilitation of sprint planning and reviews; data migration; Scrum; Kanban; REST API; JSON; XML; BPMN; UML; Jira; Confluence

Verified expert

Henning Uiterwyk

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Senior Expert Data Governance, Master Data Quality and Data Migration

Leichlingen (Rheinland)
Henning Uiterwyk

Last position:

Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON

  • Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
  • Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
  • Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
  • Operationalization of the Data Governance Framework with definition of data standards
  • Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
  • Training and coaching the data team in migration, data quality, and data modeling
Verified expert

Umut Gülac

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Freelancer

Frankfurt
Umut Gülac

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.
Verified expert

Michael Rosens

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Project Manager

Wadern
Michael Rosens

Last position:

Project Manager at Payone GmbH (Worldline AG)

  • Goal/Motivation: PAYONE urgently needs a 360° view of its customers. So far, PAYONE has no overall master data strategy. It is not possible to identify customers across all relevant systems.

The organization is to be enabled to identify customers across all relevant systems. Creating the foundation for master data management at PAYONE

  • Challenge: Due to acquisitions, the system landscape is very heterogeneous. The company is very dynamic and burdened with many system harmonization and integration projects, so resource bottlenecks and changes in project priorities are again and again almost impossible to handle.

Due to BaFin findings, the project has a central task and role. The first focus is on migrating all customers from the master-data-leading backend systems with their AML/KYC data to Salesforce. This is intended to resolve one of the largest findings and establish the corresponding ODD/EDD processes.

In addition, customer data must be harmonized in Salesforce. Previous migrations led in some cases to duplicate customer records. In the end, only one customer should be maintained in Salesforce and, with the corresponding information from the backend systems, it should also be possible to recognize which products and in which processing systems the customer uses Payone services.

Project: ONE Customer

Budget: €1.5 million

Team: 10/30 employees (full-time/part-time); 4 vendors/providers

Integration: 8 (subsystems/interfaces)

Applications: Salesforce; SAP S4/HANA; custom developments

Tools: MS Office; Jira, Confluence, SharePoint

Methods: Hands-on; Agile (SAFe); Prince2

Verified expert

Ali Aminian

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Enterprise Software Architect | Cloud, Integration & AI Platforms

Frankfurt
Ali Aminian

Last position:

Platform Engineer & Software Architect at Yatta GmbH

  • Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
  • Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
  • Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
  • Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
  • Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
  • Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
  • Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
  • Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
  • Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
  • Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
  • Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
  • Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Verified expert

Egon Maier

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SAP S/4HANA Integration Consultant – MES / Siemens Opcenter Integration

Berlin
Egon Maier

Last position:

SAP S/4HANA Integration Consultant – MES / Siemens Opcenter Integration at Metso Corporation

  • Supported an integration project between SAP S/4HANA and a MES / Siemens Opcenter system via Azure Middleware.
  • Responsible for SAP-side analysis, mapping and provisioning of relevant data objects such as material master data, production orders and process orders using SAP standard APIs and OData services.
  • SAP-side mapping for Material Master, Production Orders and Process Orders
  • Usage of API_PRODUCT, API_PRODUCTION_ORDER_2_SRV and API_PROCESS_ORDER_2_SRV
  • Consideration of SAP S/4HANA Advanced Available-to-Promise for order confirmation, production availability and downstream MES execution
  • Support for SAP Gateway and OData service topics
  • Interface coordination between SAP S/4HANA, Azure Middleware and MES / Siemens Opcenter
  • Support for testing, monitoring and error analysis
  • Worked with BTC Cockpit and Deloitte ASADEV Tool
Verified expert

Joachim Auster

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Project Manager HubSpot, Tracking + Analytics Expert

Frankfurt am Main
Joachim Auster

Last position:

Project Manager HubSpot, Tracking + Analytics Expert at Swiss Post

  • Create a tracking concept for Google Tag Manager and Google Analytics including data layer, events, triggers, and reporting
  • Manage the project team (developers, designers, performance specialists)
  • Serve as communication interface between stakeholders and digital departments
Verified expert

Sercan Tatar

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Certified Professional for Software Architecture Foundation Level

Esslingen am Neckar
Sercan Tatar

Last position:

Co-Founder & Lead Software Architect at Pflege-Pfad

  • Focus: system architecture, cloud-native platforms, microservices, API design
  • Product: Pflege-Pfad is a digital matchmaking platform that connects relatives of people in need of care directly with verified care services and caregivers - without an agency and without ongoing fees.
  • Business analysis & process design:
  • Analysis of the German care market and identification of the key pain points of both target groups.
  • Modeling of the core business processes: registration, verification, care request, application, placement, and rating.
  • Definition of the business model as a freemium/premium model with optional contact unlocking.
  • Creation of user stories and requirements documentation for relatives, care services, and administrators.
  • Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
  • Coordination with stakeholders and validation of product decisions with potential users.
  • Technical implementation:
  • Design and implementation of the entire platform architecture as a solo developer.
  • Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
  • Development of the frontend as a single-page application with Angular 17.
  • Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
  • Document upload with AWS S3 via presigned URLs for verification of care services.
  • Email notifications via Resend API.
  • AI-supported care service search via OpenAI API.
  • Implementation of complete user flows such as registration, login, password reset, and placement process.
  • Building an admin panel for user and care service management as well as analytics.
  • CI/CD with GitHub Actions and containerized deployments with Docker.
  • End-to-end tests with Playwright.

Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature-flag architecture.

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

14

Top business areas

Information Technology, Project Management, Product Development

Top industries

Information Technology, Professional Services, Manufacturing

Certification focus areas

Information Technology, Project Management, Product Development

Bachelor's degree or higher

89%

Master's degree or higher

51%

Doctorate

5%

Certifications per freelancer

3

Most common languages

German, English, French

Speak two or more languages

96%

Based on our profile pool as of 6 Sep 2026.

Daily rate distribution

0 40 80 120 160
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of freelancers in this technology are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.

Average rates of experts using Data Migration

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 857 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

Migration scope

Data migration moves records, files, and metadata from one system to another without losing business meaning. It is used during platform changes, cloud moves, mergers, ERP upgrades, CRM replacements, and data warehouse refreshes. The work is about accuracy, traceability, and a controlled cutover.

Common work

  • Source-to-target mapping and field transformation rules
  • Data cleansing, deduplication, and validation checks
  • Test loads, rehearsal runs, and rollback planning
  • Cutover support and post-move reconciliation

Strong specialists think in dependencies, not just tables. They know how records relate across applications, files, APIs, and reporting layers.

Tools and ecosystems

Data migration work often touches SQL, ETL tools, scripting, and cloud storage. Experts may work with tools for extraction, transformation, and loading, plus native services in platforms such as Oracle, SQL Server, SAP, Salesforce, Azure, AWS, or Google Cloud. The right setup depends on volume, data quality, and downtime limits.

When to bring in help

Companies bring in freelance expertise when migration risk is high, timelines are tight, or internal teams know the source system but not the target. A strong professional can spot broken mappings, hidden duplicates, and reference data gaps before they damage the cutover. This is especially useful when old systems are poorly documented.

What strong experts do

  • Protect business rules during transformation
  • Compare totals, balances, and key records before go-live
  • Work with product, data, and infrastructure teams
  • Document assumptions, exceptions, and test results

Good specialists also understand data privacy, access control, and the difference between a one-time move and an ongoing sync.

Success factors

The best data migration work starts with discovery and ends with verification. It needs clear ownership for source data, target design, and sign-off on exceptions. Teams that skip rehearsals often discover bad keys, missing history, or mismatched formats only after cutover.

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Frequently asked questions

What clients ask us most about Data Migration — answered in short.

Data migration is used to move business data from one system to another while keeping it accurate and usable. Companies need it for ERP upgrades, CRM changes, cloud moves, mergers, and data warehouse redesigns. The main goal is not just copying records, but preserving meaning, relationships, and auditability.

Data migration is usually a one-time or project-based move into a new target system. Data integration is about keeping systems connected and exchanging data over time. If you are replacing a legacy platform, migration is the right focus; if you need ongoing synchronization, integration is usually the broader challenge.

Data migration projects often involve databases, ERP systems, CRMs, file stores, and analytics platforms. Common targets include Oracle, SQL Server, SAP, Salesforce, and cloud data warehouses. The work becomes more complex when the source system is old, custom-built, or poorly documented.

A strong Data migration professional usually also knows SQL, ETL design, data quality checks, and basic scripting. Experience with data modeling, reconciliation, and source-to-target mapping is important too. For enterprise projects, knowledge of business rules and cutover planning matters as much as technical tooling.

For Data Migration, the right experience depends on the number of systems, the quality of the source data, and how strict the cutover window is. Simple loads may need one specialist with solid SQL and validation skills. Larger programs usually need someone who has handled mapping, test cycles, reconciliation, and rollback planning before.

Yes, Data Migration work is often done remotely because most tasks happen in data tools, scripts, and shared environments. On-site collaboration can still help during discovery, cutover, or stakeholder sign-off, especially when legacy teams need close coordination. Many companies use a hybrid setup for the critical phases.

A strong Data Migration specialist can explain how they verify accuracy, handle exceptions, and prove that nothing important was lost. Look for clear mapping logic, test strategy, reconciliation methods, and practical rollback planning. Good experts also document assumptions and communicate risks early.

Data Migration often uses ETL methods, but it is not the same thing. ETL is a technique for extracting, transforming, and loading data, while migration is the full project of moving data safely into a new environment. A migration can include ETL, validation, business sign-off, and cutover support.

The average hourly rate of freelancers who have used Data Migration in their recent projects is 107 €, which corresponds to a daily rate of about 857 € 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, 51% hold at least a Master's degree, and 5% 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 (59%), and Manufacturing (48%).

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 (63%).

Main locations of FRATCH Experts, who have recently used Data Migration

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

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FRATCH CEO

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