MongoDB Experts
to build flexible data systems, matched in minutes with AIHire experts who design document models, build aggregation pipelines, and connect MongoDB to modern applications. FRATCH matches you quickly with vetted, available freelancers whose experience fits your project and technical environment.
Meet FRATCH Experts who have recently used MongoDB
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 using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across 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; enabling 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 specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development 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 delivery 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
Timo H.
Last position:
Software Developer at Smiths Detection
- Extension of a Swing-based UI for recording Security Restricted Articles during baggage screening.
- Introduction of a new workflow for recording Deboarding Events.
- Extension of the reporting system for Security Restricted Articles and Deboarding Events.
- Implementation using JBoss Wildfly, PostgreSQL, spring-boot 3.x, Java 8/21, Swing, JSF, JAX-RS/Resteasy, Docker, Maven, Kiro.
Shamaila M.
Last position:
Founder/Kubernetes and Cloud Architect at Kubekanvas
- Developed browser based platform for kubernetes no-code deployment and cluster management
- Developed CLI in Typescript to deploy the resources in the cluster without leaving the browser UI.
- Implemented DevSecOps pipelines: image scanning, SBOM, policy enforcement, supply-chain security and used Kyverno. Implemented IAM integration for the command line utility tool.
- Designed role & permission models for Keycloak, oAuth/OIDC, social login flows.
- Used LLM to convert user intent into the diagram.
- Worked on integration with multiple Sovereign Cloud like stackIt, Hetzner, CIVO, UpCloud plus public clouds like AWS, GCP, Azure
- The technology stack includes Java, SpringBoot, Kubernetes, OpenAI, Kubernetes multi-tenancy using vCluster, Karpenter, RBAC for CLI, Helm, React
David B.
Last position:
TypeScript Developer & UX Designer at colle-il-diaccino.de
TOURISM
colle-il-diaccino.de · Holiday Accommodation
- Designed and developed the website: interactive site map, accommodation comparison, and image galleries.
- Implemented German, English, and Italian language versions. Set up inquiry forms with input validation and spam protection, language-specific SEO metadata, and automated tests.
Stack: Next.js, React, TypeScript, Tailwind, next-intl, React Hook Form, Zod, Resend, Playwright, Vitest
Niko S.
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Built a data integration platform for high-, medium- and low-voltage assets to enable contextual analysis of time series with master data from SCADA control systems (IEC 60870 104), INIS and SAP.
- Responsible for the architecture and implementation of the solution, and acted as a sparring partner for the Product Owner.
- Technologies used: Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter and various API gateways.
Karen M.
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and maintained the product backlog
Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural
Yusuf C.
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with Product Owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Frank S.
Last position:
Skat Pro at Spiele Palast
Skat Pro
Redesign and modernization of an existing game application for various clients (web and mobile)
Technologies:
- Unity 3D
- C#
- .Net
- WebGL
- Android
- iOS
Sascha B.
Last position:
Web Developer at GxPlex
- Built a customized MediaWiki instance, including installation, MySQL database, SSL, and automatic backups
- Set up user roles (Admin, Mod, Verified, User) and a permissions system
- FlaggedRevisions for editorial review workflows · Commenting and rating extensions
Ales L.
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Anton P.
Last position:
Product Owner / IT Project Manager (EUDR Compliance SaaS) at Gras GmbH
- Responsible for the backlog and roadmap of a production SaaS compliance platform for the EU Deforestation Regulation (EUDR), with around 30 customers on AWS and Docker.
- Coordinated feature development and API integrations across 2 external and internal development teams.
- API integrations with the EU EUDR API and SAP.
- 70% fewer customer-reported issues, supporting ISO-27001 certification.
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Sergej G.
Last position:
IT Consultant and Software Developer at Görzen Consulting
- End-to-end ownership of client projects, from requirements to rollout
- CTO of Edumix, a platform for interactive learning content (not yet released)
- CTO of a B2B AR app with indoor navigation and a digital twin (Matterport)
- OnePortrait: migration from Node.js/Nuxt to React, Next.js and Go
- Interactive Three.js mosaic featuring thousands of images
- Daily use of AI tools and coding agents (agentic coding)
Technologies: React, Next.js, Go, Node.js, Unity (Editor Extensions, UaaL), Flutter, iOS, .NET MAUI, Supabase/PostgreSQL, Three.js
Projects: Edumix, AR Indoor Service App, OnePortrait
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.1 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
93%
Master's degree or higher
57%
Doctorate
6%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
97%
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 MongoDB
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.
MongoDB 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 (97%)
- Banking and Finance (47%)
- Retail (41%)
- Automotive (35%)
- Manufacturing (35%)
- Professional Services (30%)
- Media and Entertainment (30%)
- Healthcare (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented database built around flexible BSON documents rather than rows and tables. It stores related data in collections, making it useful for applications whose structures change as products evolve. Teams use MongoDB for web and mobile backends, content systems, customer platforms, catalogs, analytics services, and real-time features.
Data modeling
Strong MongoDB work starts with the access patterns of the application. Experts decide when to embed data, when to reference related documents, and how to shape collections for reliable reads and updates. They also plan validation rules, indexes, shard keys, retention policies, and migration paths so flexibility does not create inconsistent or difficult-to-maintain data.
Core ecosystem
The Mongo ecosystem includes MongoDB Atlas, self-managed deployments, Compass, mongosh, official drivers, and tools for backup and monitoring. Professionals commonly work with Node.js, Python, Java, C#, Go, or PHP applications and connect MongoDB to REST, GraphQL, event-driven, and cloud-native services. Aggregation pipelines support filtering, joins, transformation, and reporting inside the database.
Project signals
Companies often bring in freelance MongoDB expertise when an existing data layer is slowing delivery or needs a safe redesign.
- Review a relational or document model and map it to real query patterns
- Improve slow queries, indexes, aggregations, and connection handling
- Move workloads to MongoDB Atlas or a controlled self-managed environment
- Plan migrations, replication, sharding, backups, and disaster recovery
Quality markers
A capable specialist explains why a document model fits the workload instead of treating MongoDB as a default replacement for relational databases. They test realistic query volumes, understand replica sets and elections, and document consistency, transaction, and recovery choices. They also protect sensitive data through access controls, encryption, auditing, and careful operational procedures.
Collaboration needs
Freelance professionals may support a greenfield application, a migration from MySQL or PostgreSQL, or a production system that needs targeted improvements. Clear requirements include sample documents, query patterns, deployment constraints, expected consistency, and ownership of operations. Remote work is effective when teams share documentation, observability access, review practices, and a clear plan for releases and incident response.
Frequently asked questions
Need clarity? These are the questions we hear most often about MongoDB.
MongoDB is used for applications that need flexible document structures, fast iteration, and scalable access to related data. Common examples include product catalogs, content platforms, customer records, mobile backends, event services, and real-time dashboards.
MongoDB stores documents and supports flexible schemas, while PostgreSQL and MySQL organize data primarily in relational tables. MongoDB can suit changing data models and document-heavy access patterns; relational databases are often stronger where strict relationships, complex joins, and mature transactional rules dominate.
A strong MongoDB professional should understand data modeling, indexing, aggregation pipelines, replication, backups, and security. Experience with a relevant application language, cloud infrastructure, APIs, observability, and migration planning is also valuable.
The right level of MongoDB experience depends on the workload, risk, and delivery stage. A simple application may need focused modeling and integration support, while a high-availability migration requires proven skills in performance analysis, replication, recovery, and production operations.
Yes, MongoDB work is often handled remotely when the professional receives secure access, representative data, deployment documentation, and clear acceptance criteria. On-site collaboration can help during sensitive migrations, incident response, or workshops involving several local teams.
MongoDB can support regulated workloads when the deployment is designed around access control, encryption, auditing, retention, backup protection, and documented recovery procedures. Suitability depends on the data, hosting model, required controls, and the organization’s compliance process rather than on the database name alone.
Ask the MongoDB specialist to explain modeling decisions using actual query patterns and expected growth. Review tests for indexes and aggregations, failure and recovery plans, security settings, monitoring coverage, migration safeguards, and clear technical documentation.
MongoDB Atlas is a managed cloud service for deploying and operating MongoDB databases. It can reduce routine infrastructure work and provide integrated monitoring, backups, scaling options, and security controls, while a self-managed deployment may be preferred for specific hosting or operational requirements.
The average hourly rate of freelancers who have used MongoDB in their recent projects is 92 €, which corresponds to a daily rate of about 736 € based on an 8-hour working day.
Of the freelancers who have used MongoDB in their recent projects, 93% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers who have used MongoDB in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers who have used MongoDB in their recent projects are English (98%), German (97%), and French (16%).
The most common industries among freelancers who have used MongoDB in their recent projects are Information Technology (97%), Banking and Finance (47%), and Retail (41%).
The most common business areas among freelancers who have used MongoDB in their recent projects are Information Technology (99%), Product Development (93%), and Quality Assurance (50%).
Main locations of FRATCH Experts, who have recently used MongoDB
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.
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Hamburg 
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