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Databricks Experts in Nuremberg

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Hire experts who design lakehouse pipelines, tune Spark jobs, and run Databricks workspaces with Delta Lake, Unity Catalog, and Azure Databricks. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Nuremberg, who have recently used Databricks

Verified expert

Elnazossadat Hosseininia

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Analytics Engineering | Data Engineering | Automation & Scalable Data Pipelines

Nuremberg
Elnazossadat Hosseininia

Last position:

Data Analyst at Siemens Healthineers

  • Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
  • Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
  • Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
  • Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
  • Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
  • Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
  • Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
  • Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Verified expert

Pawan Saxena

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Academic Project

Nuremberg
Pawan Saxena

Last position:

CAPTCHA Recognition using CRNN

  • Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
  • Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
  • Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
  • Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
  • Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Verified expert

Ralph Navasardyan

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AI Lead Engineer Car Configurator for leading German premium manufacturer

Rückersdorf
Ralph Navasardyan

Last position:

AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH

  • Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
  • Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
  • Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Verified expert

Ekaansh Khosla

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Master thesis - LLM powered RAG System

Erlangen
Ekaansh Khosla

Last position:

Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
  • Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
  • Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Verified expert

Guino Ndjenndja

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Senior Data Engineer

Altdorf bei Nürnberg
Guino Ndjenndja

Last position:

Senior Data Engineer at Infomotion

  • Built a data analytics platform for Karl Storz
  • Developed all ETL processes in a generic way
  • Prepared and supplied data in Databricks Delta tables for use in Databricks Machine Learning
  • Technologies & Tools: Azure Data Factory, CI/CD pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Verified expert

Aqsa Younus

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Client Services Manager

Erlangen
Aqsa Younus

Last position:

Multilingual Translation Tool - NLP Project

  • Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
  • Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
  • Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.

Discover over 15,000 top freelancers

Statistics of experts using Databricks

Aggregated from the professional profiles of matched freelancers.

Experience

12 years (Germany: 14 years)

Position duration

1.8 years (Germany: 2.9 years)

Positions per freelancer

12 (Germany: 10)

Top business areas

Information Technology, Business Intelligence, Product Development

Top industries

Information Technology, Healthcare, Banking and Finance

Certification focus areas

Business Intelligence, Information Technology, Product Development

Bachelor's degree or higher

100% (Germany: 97%)

Master's degree or higher

86% (Germany: 70%)

Certifications per freelancer

2 (Germany: 3)

Most common languages

German, English, French

Speak two or more languages

100% (Germany: 97%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€480 €800-​960 €960+

The chart shows how the daily rates of freelancers in this technology in Nuremberg 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 Nuremberg using Databricks

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

1000
750
500
250
Rate comparison chart
Daily rate avg. 752 €
Germany avg. 779 €

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 €
Germany median 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

Lakehouse work

Databricks is used to build data lakehouse systems that bring raw data, analytics, and machine learning into one place. Strong experts turn that into reliable pipelines, clean tables, and repeatable notebooks for teams that need both speed and control.

Core stack

  • Apache Spark jobs for batch and streaming
  • Delta Lake tables for dependable data handling
  • Unity Catalog for access control and governance
  • Workflows, notebooks, and job orchestration
  • MLflow and model pipelines when data science is part of the scope

When to bring in help

Companies often look for freelance Databricks specialists when a migration is stuck, a Spark job is too slow, or governance needs to be tightened. The same applies when teams use Azure Databricks and need support across cloud setup, workspace structure, or production release work.

What strong experts do

Good specialists write clean Spark code, understand data modeling, and think about cost, security, and maintainability. They know when to use SQL, Python, or Scala, and they can explain trade-offs clearly to product, data, and platform teams.

Typical delivery

  • pipeline rebuilds and refactoring
  • streaming ingestion and transformation
  • warehouse or BI data layers
  • governance and permission cleanup
  • migration from legacy ETL or Hadoop-style stacks

Nuremberg collaboration

In Nuremberg, Databricks work often supports manufacturing, logistics, and enterprise analytics teams. Many projects run well remotely, but on-site sessions help when a company wants workshops, stakeholder alignment, or a closer handover with German-speaking teams.

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Frequently asked questions

Need clarity? These are the questions we hear most often about Databricks.

Databricks is used to build data pipelines, lakehouse layers, analytics stores, and machine learning workflows. Teams use it when they want one environment for ingesting data, transforming it with Spark, and serving it for reporting or modeling.

Databricks is not the same as Spark, but Spark is a major part of the stack. Spark is the processing engine; Databricks adds the managed workspace, collaboration tools, governance, and production features around it.

Databricks is often chosen when a team wants less infrastructure work and more focus on delivery. Azure Databricks is a common choice for companies already standardized on Microsoft Azure and looking for tighter cloud integration, easier operations, and faster delivery.

A strong Databricks specialist usually knows Spark, SQL, Python, and data modeling. Many also bring cloud knowledge, Delta Lake, notebook workflows, and basic security or governance experience through Unity Catalog.

Databricks work can be simple at the start, but production data systems need someone who has handled failures, performance tuning, and access control. If the work includes streaming, migration, or business-critical pipelines, choose a specialist with hands-on delivery experience, not just notebook familiarity.

Databricks projects are often a good fit for remote work because most tasks happen in notebooks, repositories, and cloud workspaces. In Nuremberg, on-site time can still help for discovery workshops, architecture decisions, or handover sessions with local teams.

Databricks quality shows up in clear code, sensible job design, and a clean data model. Look for someone who can explain why they chose a certain Spark pattern, how they handle failures, and how they keep the workspace maintainable.

Databricks is the product and platform, while lakehouse describes the architecture it is often used to support. If a freelancer talks about both clearly, they usually understand how to connect raw data, governance, analytics, and machine learning in one design.

The average hourly rate of freelancers in Nuremberg, Germany who have used Databricks in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.

Of the freelancers in Nuremberg, Germany who have used Databricks in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.

On average, freelancers in Nuremberg, Germany who have used Databricks in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.8 years.

The most common languages among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are German (100%), English (100%), and French (14%).

The most common industries among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are Information Technology (100%), Healthcare (71%), and Banking and Finance (57%).

The most common business areas among freelancers in Nuremberg, Germany who have used Databricks in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (86%).

Main locations of FRATCH Experts, who have recently used Databricks

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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