Django Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Django
Syed Abdul
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.
Haseeb Zahid
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Muzamal Ali
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
Can Savastürk
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Nino Sandmeier
Last position:
Freelancer in Data Science at International Companies
Proceeding what was started in 10/2023, offering data science development skills fulltime to international clients
Helping companies learn more about their existing (unstructured) data, optimize processes and technical systems, and derive solutions for their problems
Tools and technology used: Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch), Matlab, Docker, AWS EC2, Lambda, S3, SQL, MySQL, Hadoop & Spark, Machine Learning, DNN, AI, Jira, Confluence, Git, CI/CD, GitLab, Jenkins
Ashwin Parthasarathy
Last position:
Data Scientist at Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Tobias Jaeuthe
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Domenik Jones
Last position:
Python Engineer and Cloud Migration Consultant at Unknown
- Supported the company's transition from an on-premise architecture to AWS cloud services, modernizing infrastructure and optimizing operational efficiency.
- Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.
- Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
- Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
- Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
- Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
- Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.
Paulo Andrade
Last position:
Founder and Product Lead at Muvuca Solutions
- Lead a climate tech consultancy end to end, coordinating cross-functional teams, owning client strategy and project management, and delivering ESG strategies and AI-first products.
- Stay hands-on across discovery, analytics, roadmapping, architecture, and QA to safeguard execution quality.
- Designed, developed, and launched Jody, an AI travel planner (demo credentials provided).
Ines Rahrah
Last position:
Entrepreneur at ZuManAsha
- Built and operated a successful handmade tray business sold via Etsy and Spock, fulfilling 120+ orders and maintaining 5-star customer reviews.
- Managed 100% of the operations including product design, international shipping, and marketing across Instagram, TikTok, and Etsy, growing a global customer base.
Shivansh Dania
Last position:
Product Manager at Es Magico
- Launched an AI marketplace aggregator leveraging deep knowledge of e-commerce and marketplaces that reduced product listing time by 65% and improved compliance rates by 70% for a US based client
- Implemented AI-based content generation and image validation features based on marketplace-specific SEO principles and selling policies, eliminating up to 8 hours of manual work per week
- Created an intelligent inventory system with demand forecasting algorithms that decreased stockouts by 30% while optimizing cross-platform inventory allocation across multiple sales channels
- Engineered a conversational AI sales agent to achieve <600ms response latency and >92% intent classification accuracy, ensuring natural, human-like interactions across 10+ Indian languages
- Integrated persona-based conversation flows that improved engagement and upsell conversions by 28% using LLMs, SLMs, RAG and the latest STT and TTS technologies
- Delivered an enterprise-grade real estate CRM and lead management system that reduced lead management effort by 60% through automated workflows
- Architected role-based access controls after conducting 50+ stakeholder interviews to identify critical security needs
- Managed sprint execution with 90% on-time feature delivery while maintaining technical quality standards
- Developed a global VOIP application from concept to launch by defining product strategy based on competitive analysis for an Australian client
- Reduced onboarding friction by 60% through UX optimization, resulting in 25% higher user conversion rates
- Executed data-driven prioritization that accelerated time-to-market while balancing technical constraints
Srikar Kodi
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.
Mehul Jain
Last position:
Physiobuddy
- Project for mobile users to perform physiotherapy remotely.
Nicolás Widera
Last position:
Interim consultant for communication and marketing services; freelance project leader and project manager at Freelance
- Agencies: Aimaq & Stolle, Aperto (IBM iX), Antoni, Axel Springer Corporate Solutions, BRANDS ON MARS, Deepblue Networks, Freunde des Hauses, GERLACHHARTOG, GGD Mullen Lowe, GTB Germany (VMLY&R), GUD.berlin, Hello White Parrot, Interone, Jung von Matt, Kulturprojekte Berlin, MACKAT, Neteye (Yours Truly), Ogilvy & Mather, rethink/C3, Ressourcenmangel, Scholz & Friends, Serviceplan One, Shanghai.Berlin, Wunderman, wirDesign, zweimaleins (Saatchi & Saatchi Pro)
- Companies: Bringmeister - partner of EDEKA, DIN MEDIA (Beuth Publishing), eprimo, GLOBUS Markthallen, Miles & More/Lufthansa, MOIA, VDA – German Association of the Automotive Industry, VIP Services Frankfurt
- Roles: Client Service Director, unit head, account director, account manager, project manager, product owner, brand manager, senior marketing manager, marketing officer
Frank Bohnsack
Last position:
Software Engineer at Freelancer
- Freelance software engineer focusing on backend (Python/Django) and frontend (VueJS).
Discover over 15,000 top freelancers
Statistics of experts using Django
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 14 years)
Position duration
2.2 years (Germany: 2 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Retail
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
94% (Germany: 96%)
Master's degree or higher
44% (Germany: 58%)
Doctorate
6% (Germany: 7%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
89% (Germany: 98%)
Based on our profile pool as of 30 Aug 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 Django
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Django for web products
Django is a Python web framework for building backend-heavy products, content systems, internal tools, and API services. It fits teams that need clear structure, security, and fast delivery without building every layer from scratch.
Typical delivery work
- Custom web applications and portals
- REST APIs for frontends and mobile apps
- Admin panels and editorial workflows
- Authentication, permissions, and user management
- Data-driven dashboards and operations tools
Core ecosystem
Strong Django work often includes Django REST Framework, PostgreSQL, Celery, Redis, and test tooling such as pytest. Many projects also use template rendering, background jobs, and deployment setups built around Docker, Nginx, and cloud services.
When outside help makes sense
Companies usually bring in freelance Django specialists when an existing codebase needs extension, cleanup, or faster delivery. That is common in Berlin teams building SaaS products, media tools, marketplaces, and internal systems that need solid Python backend work.
What strong specialists do
A good Django professional writes maintainable code, understands project structure, and keeps models, views, serializers, and services well separated. They also care about tests, migrations, security, performance, and readable admin workflows, not just shipping features quickly.
How teams work with them
Django specialists can join remote product teams, work on-site in Berlin, or combine both depending on the sprint and stakeholder needs. Clear APIs, existing tickets, and access to the current data model help them start quickly and deliver without delay.
Frequently asked questions
Curious about Django? Here are the answers that come up again and again.
Django is used to build backend web applications, APIs, admin tools, content-heavy sites, and internal systems. It is a strong fit when a project needs clean structure, built-in security features, and fast delivery in Python.
Django gives you more built-in structure than Flask and more application features out of the box than FastAPI. Teams often choose it when they want an opinionated framework with authentication, admin, ORM, and project conventions already in place.
A strong Django specialist should also know Python well, plus PostgreSQL, REST APIs, testing, and deployment basics. Familiarity with Django REST Framework, Celery, Redis, and Docker is often important for real-world work.
A Django specialist can start with limited context if the codebase is clean and the task is well defined. For larger refactors, migrations, or API changes, they need access to the data model, deployment flow, and existing business rules.
Yes, Django works well for Berlin teams that build SaaS products, media systems, marketplaces, and internal tools. Many projects can be done fully remote, but on-site collaboration can help when product, design, and backend work need close coordination.
Django can be a very good choice for API-only work, especially when the project also needs admin access, authentication, or strong data handling. With Django REST Framework, it becomes a practical backend for web and mobile clients.
Look for clear model design, sensible separation of concerns, and tests that cover important business rules in Django. Good specialists also explain trade-offs, handle migrations carefully, and keep performance and security in view.
Not every Django task needs a very senior profile, but legacy cleanup, performance issues, and production fixes usually benefit from deeper experience. Smaller feature work can often be handled by a solid specialist who knows the framework and the surrounding Python stack.
The average hourly rate of freelancers in Berlin, Germany who have used Django in their recent projects is 80 €, which corresponds to a daily rate of about 642 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Django in their recent projects, 94% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Django in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used Django in their recent projects are English (100%), German (84%), and Spanish (21%).
The most common industries among freelancers in Berlin, Germany who have used Django in their recent projects are Information Technology (89%), Automotive (37%), and Retail (37%).
The most common business areas among freelancers in Berlin, Germany who have used Django in their recent projects are Information Technology (89%), Product Development (89%), and Business Intelligence (63%).
Main locations of FRATCH Experts, who have recently used Django
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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