
CSV Expert in Berlin
for clean, reliable data workflows with fast AI matchingHire experts who transform comma-separated values files, validate imports, and connect CSV data with SQL, Excel, pandas, and ETL workflows. Get precisely matched with vetted, available freelancers who can support your project quickly.
Meet FRATCH Experts in Berlin, who have recently used CSV
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Syed A.
Last position:
Senior Software Engineer at Giant Eagle
- Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
- Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
- Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
- Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
- Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
- Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
- Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
- Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
- Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
- Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
- Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
- Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
- Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.
Fernando C.
Last position:
Senior Front-End Developer at Moss
- Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
- Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
- Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
- Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
- Works with complex cross-entity relationships without a single-schema solution.
- Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.
Ola V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Andrej B.
Last position:
Lead UX Design Engineer at Journexx GmbH
- Leading, designing, and developing the UX and UI strategy and implementing it for the platform
- Creating style guides and design systems in Figma
- Creating a generic end-to-end layout structure for big data cockpits in Figma and Sass (CSS, design tokens)
- Workflows, wireframes, user research, and rapid prototyping
- Preparing and facilitating workshops and discoveries
- Integrating designs and layouts into existing frontend templates
- Prototyping (low-/mid-/high-fidelity) of various apps for journalists and publishers
- Developing showcases for iOS and Android, design thinking, qualitative and quantitative user testing, and A/B testing
- Frontend development in close collaboration with design teams
- Active change management in the publishing and journalism sector and with stakeholders
- Company-wide communication and info hub for teams
- Raising awareness and getting buy-in for digitalization and new products
- Creating concepts and designs for gamification elements on the platform
- Convincing major industry players (e.g., WAN-IFRA) about new concepts and revenue streams
- Developing new cloud-native apps and revenue strategies
- Preparing and creating various materials for change processes
- Creating presentations, mini-apps, and info materials to support change campaigns
- Leading a total of three teams
Fady K.
Last position:
Senior Software Developer / Tech Lead at Specific Objects Technologies GmbH
- Project 1: Multi-Tenant SaaS Platform: Data Integration & Pricing Management
- Objective: New development of ELT pipeline (replacement for Java 6 legacy), integration of heterogeneous source systems (CSV, Excel, Email, external DBs), event-sourcing for complete auditability, multi-tenant architecture for tenant-capable data processing
- Challenge: Processing millions of records daily, audit compliance, data isolation between different tenants
- Solution: Stakeholder workshops for requirements analysis, event-driven architecture with Axon Framework and Apache Kafka, AWS services (EC2, S3, Lambda, SQS, API Gateway) for cloud integration, PostgreSQL with tenant-specific schemas for multi-tenant data isolation, REST API design with Spring Boot for external system integrations, comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit)
- Results: ELT performance improved from 30+ min to 1-5 min; 2-3 hours daily saved through workflow automation; 10-20 hours/week saved through event-sourcing auditability; 100% audit compliance; secure multi-tenant data isolation for 10+ tenants
- Project 2: Multi-tenant CRM System Modernization
- Objective: Migration of CRM system (20+ years PHP/MySQL) to Java microservices, Domain-Driven Design implementation, establishment of Test-Driven Development, multi-tenant-capable SaaS architecture for multiple customer tenants
- Challenge: Remodeling complex business logic, no existing test culture, scalable tenant management with data isolation
- Solution: Comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit), multi-tenant architecture with tenant-specific databases, REST API design with Spring Boot for cross-tenant integration, Kubernetes and Docker for container orchestration
- Results: 2× performance improvement; deployment time reduced from 40+ min to 5-7 min; migration without production outages; scalable multi-tenant solution for 15+ customer tenants
- Technologies: Java, Spring Boot 3.x, Angular, Apache Kafka, AWS (EC2, S3, Lambda, SQS, API Gateway), PostgreSQL, Axon Framework, Kubernetes, Docker, GitLab CI, REST API
Ola A.
Last position:
Freelance BI Consultant & Analyst at DocMorris
- Data / product analysis & visualisation in Tableau Desktop
- Stakeholder Management
Jürgen G.
Last position:
Data Analysis & Harmonization at Various clients/consulting partners
- Analysis and harmonization of master data
- Analysis of product and customer portfolios and KPI identification
- Preparation and harmonization of raw material master data for migration
- Marketing and customer support as well as organization at real estate agencies
Srikar K.
Last position:
Application Developer at Vavili Technologies
- Played a key role in developing templeswiki.com as a Full Stack Developer, building and optimizing multiple pages and microservices to ensure a responsive and user-friendly experience.
- Developed an interactive chatbot integrated with Natural Language Processing (NLP) to enhance user engagement and streamline customer interactions within the application.
- Built a robust ETL pipeline using Python to generate multi-language labels, facilitating seamless content translation across languages.
- Led the QA team by crafting a comprehensive test plan to rigorously test and ensure the application's smooth operation, alongside developing an in-house attendance recording tool to improve organizational efficiency.
Varsha S.
Last position:
Embedded Engineer (Working Student) at Lautsprecher Teufel GmbH
- Proficient in using JIRA for sprint planning, bug reporting, and task management.
- Modified and enhanced embedded C/C++ firmware code on STM32, ESP32 and ARM-based MCUs and SoCs.
- Debugged and fixed embedded software issues; managed code with Git/GitLab (commits, merge requests, reviews).
- Created and maintained test cases and test plans using Testmo.
- Debugged and validated firmware builds; provided detailed bug reports.
- Executed manual tests across development stages.
- Familiar with RTOS concepts and implementation, including task scheduling and interprocess communication for real-time embedded systems.
- Managed planning and execution of acceptance and regression testing.
- Supported mobile app and system-level testing for audio streaming device.
- Tested communication protocols (HTTP, I2C, SPI, UART) and API interactions.
- Used terminal tools and SSH to debug embedded Linux systems.
Karthikeyan A.
Last position:
Cryptocurrency Price Prediction using Machine Learning Algorithms
- Designed, implemented, and evaluated multiple machine learning models (e.g., regression, time series, neural networks) to forecast cryptocurrency prices, incorporating data preprocessing, feature engineering, and model optimization for improved predictive accuracy.
- Performed in-depth data exploration and visualization on large cryptocurrency datasets, using tools like Python and libraries such as Pandas and Matplotlib to identify trends and patterns.
Boris M.
Last position:
ITZBund
- eInvoicing project
- SAP ABAP OO development
- workflow
- OpenText
Discover over 15,000 top freelancers
Statistics of experts using CSV
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 19 years)

Position duration
1.5 years (Germany: 1.6 years)

Positions per freelancer
16 (Germany: 15)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Retail, Banking and Finance

Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
100% (Germany: 84%)
Master's degree or higher
55% (Germany: 45%)
Doctorate
9% (Germany: 4%)

Certifications per freelancer
2 (Germany: 4)

Most common languages
English, German, French

Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 in Berlin using CSV
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
CSV 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 (100%)
- Retail (54%)
- Banking and Finance (46%)
- Automotive (38%)
- Energy (38%)
- Manufacturing (38%)
- Healthcare (31%)
- Transportation (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What CSV is
CSV, or comma-separated values, is a plain-text format for tabular data. Each line represents a record, while delimiters separate fields and quotation marks protect values that contain commas or line breaks. It is widely used to exchange data between business systems, spreadsheets, databases, and analytics tools.
Where it is used
CSV supports practical data movement across many industries. Companies use it for exports, imports, reporting, migrations, customer lists, product catalogs, financial records, and operational handovers.
- Import records into business applications
- Prepare datasets for reporting and analysis
- Exchange data between systems and vendors
- Create repeatable upload and export workflows
Ecosystem and tooling
CSV work often sits between several tools rather than inside one product. Professionals may use Excel, Google Sheets, Power Query, Python with pandas, SQL databases, and ETL services to inspect, transform, validate, and load files. They also manage encodings such as UTF-8, regional delimiters, date formats, quoting rules, and column schemas.
When companies need help
Freelance expertise is useful when files fail to import, records contain inconsistent values, or manual spreadsheet work no longer scales. A specialist can trace a data-quality issue, define a dependable schema, automate transformations, and document the process for internal teams. In Berlin, this can support local teams that collaborate across offices, suppliers, and remote data operations.
- Resolve delimiter, encoding, and quotation problems
- Reconcile columns across different source systems
- Automate recurring exports and imports
- Test files before production uploads
What strong specialists deliver
Strong CSV professionals treat the format as a data contract, not just a spreadsheet export. They inspect edge cases such as empty fields, duplicate records, embedded line breaks, leading zeros, and changing headers. Their deliverables can include cleaned files, transformation scripts, validation rules, mapping documents, and repeatable pipelines.
Choosing the right expert
Look for someone who can explain the source and target systems, define how errors should be handled, and show how results will be checked. Relevant experience may include SQL, APIs, database modeling, spreadsheet automation, pandas, Power Query, or broader ETL work. For Berlin-based projects, clarify whether workshops require on-site attendance or can be handled remotely, and agree on the working language and documentation standard.
Frequently asked questions
Need clarity? These are the questions we hear most often about CSV.
CSV is commonly used to exchange tabular data between spreadsheets, databases, business applications, and analytics tools. Companies rely on it for imports, exports, reporting datasets, migrations, and recurring operational data transfers.
Comma-separated values files are simpler and easier to process across many systems, but they do not preserve spreadsheet formatting, formulas, or multiple worksheets like Excel files. JSON handles nested and hierarchical data better, while CSV is often more convenient for flat tables and bulk imports.
A strong CSV specialist often also works with SQL, Excel, Python and pandas, Power Query, APIs, databases, and ETL tools. Knowledge of encodings, schemas, validation, delimiters, quoting, and data privacy helps prevent failures during exchange.
The right level depends on the risk and complexity of the workflow, not simply on the file format. A straightforward cleanup may need focused support, while recurring imports, large data migrations, or integrations call for a professional who can design validation, automation, monitoring, and recovery steps.
CSV work is usually well suited to remote collaboration because files, transformation logic, and validation results can be shared digitally. Berlin teams should still clarify access controls, meeting expectations, documentation language, and whether any process-mapping sessions need to happen on site.
A CSV freelancer may deliver corrected files, mapping rules, transformation scripts, validation checks, import templates, and clear documentation. The deliverables should explain assumptions, accepted formats, error handling, and how future files will be tested.
Ask the specialist to demonstrate checks for encoding, delimiters, headers, duplicate records, missing values, data types, and embedded separators. High-quality CSV work is reproducible, documented, and tested against realistic edge cases rather than judged only by whether one file opens successfully.
CSV files can look fine in a spreadsheet while using the wrong delimiter, character encoding, line-ending style, decimal convention, or date format for the target system. Quoted commas, leading zeros, blank fields, and unexpected headers can also change how records are interpreted during import.
The average hourly rate of freelancers in Berlin, Germany who have used CSV in their recent projects is 91 €, which corresponds to a daily rate of about 727 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used CSV in their recent projects, 100% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Berlin, Germany who have used CSV in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Berlin, Germany who have used CSV in their recent projects are English (100%), German (92%), and French (23%).
The most common industries among freelancers in Berlin, Germany who have used CSV in their recent projects are Information Technology (100%), Retail (54%), and Banking and Finance (46%).
The most common business areas among freelancers in Berlin, Germany who have used CSV in their recent projects are Information Technology (100%), Product Development (77%), and Business Intelligence (69%).
Main locations of FRATCH Experts, who have recently used CSV
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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