Presto Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Presto
Nune Isabekyan
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Martin Mittermeyer
Last position:
Requirements Engineer at MCM Modern Engineering UG HB
- Analysis of the current process
- Development of the target processes
- Support for the implementation of improvements in an SAP-enabled program
- Simplification of customer contact initiation
- Streamlining internal processes through automated real-time verification of claim relevance
- Creation of use cases
Padma Priya Srinivasan
Last position:
Certified Data Scientist at XDi
- Successfully completed a 3.5 month data science course, earning the ‘Certified Data Scientist’ title from XDi, Germany (AZAV certified).
- Covered supervised and unsupervised machine learning algorithms.
- Covered natural language processing using Python.
Jürgen Fey
Last position:
AR/VR/XR Architect at Deutsche Telekom
- Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
- Evaluated available options for backend, streaming and client implementations
- Developed PoC implementations and conducted technical evaluation of potential components
- Led the development team and defined the target system architecture for a complete end-to-end solution
- Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
- Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
- Worked on GPU scheduling, CUDA and related topics
- Defined and implemented backoffice and end user dashboards using Grafana and Superset
- Used Jaeger tracing to analyze specific events
- Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
- Integrated AR/VR/XR IoT devices
- Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
- Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios
Gyan Prakash
Last position:
Senior DevOps and Cloud Architect at Bosch
- Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
- Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
- Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
- Contributed to hiring and technical interviews as part of the recruitment panel.
Felix Bruckner
Last position:
Data Consultant & Technical Lead DataVerse at Lufthansa Technik AG
- Technical consulting for greenfield development of AVIATAR 2.0
- Designing data pipelines and data architecture within the DataVerse Data Lake
- Planning and implementing Data Lake zones, data governance, data retention, and recovery strategies
- Collaboration with the Data Architecture and Platform Team for infrastructure scaling and design
- Close cooperation with stakeholders across Lufthansa Technik, including requirements management
- Hands-on development of data pipelines using Spark Structured Streaming and Databricks
- Proofs of Concept (PoCs) for Graph-Links and real-time analytics
- Provisioning data for AI and ML projects (e.g., predictive analytics)
- Technical design and implementation of near-real-time pipelines based on business requirements
Adithya Balaji
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Discover over 15,000 top freelancers
Statistics of experts using Presto
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.9 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Automotive, Information Technology, Banking and Finance
Certification focus areas
Business Intelligence, Human Resources, Information Technology
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 Germany using Presto
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
What Presto does
Presto is a distributed SQL engine for fast queries across large datasets. It is used to explore data in lakes, warehouses, and mixed environments without moving everything into one system. Teams choose it for interactive analytics, ad hoc reporting, and federated queries.
Where it fits
- Query data in S3, HDFS, and other object stores
- Join data from Hive, Kafka, and relational sources
- Power BI and analytics dashboards with low-latency SQL
- Run federated access across many systems
Presto, also known through the PrestoSQL name and the PrestoDB ecosystem, is often part of a broader modern data stack.
Core skills
Strong Presto specialists understand distributed query planning, connectors, resource management, and SQL tuning. They know how to read execution plans, reduce shuffles, and shape schemas for faster scans. Experience with catalog setup, security, and metadata systems matters as much as query writing.
When to bring in help
Companies bring in freelance experts when queries slow down, connectors break, or a new data source must be added cleanly. In Germany, this often comes up in analytics, retail, finance, logistics, and industrial data teams that need reliable access across many systems. Remote work is common, but on-site collaboration helps when data governance or platform migration is sensitive.
Ecosystem and tooling
A solid Presto setup usually touches:
- Hive Metastore or compatible catalog services
- Object storage such as S3-compatible systems
- JDBC and BI clients
- Kubernetes or other deployment tooling
- Monitoring, logging, and query history
Experts should be comfortable with both the query engine and the surrounding data platform.
What good looks like
The best professionals do more than make queries run. They balance speed, stability, and clear access patterns so analysts can trust results. They also document connector choices, spot bottlenecks early, and leave the environment easier to operate.
Frequently asked questions
Key details about Presto, drawn from the questions we get asked most.
Presto is used for fast SQL over large, distributed data sources. It is a strong fit for interactive analytics, federated queries, and dashboards that need to read from several systems at once. Companies use it when they want SQL access without first copying all data into one warehouse.
Presto and PrestoSQL are closely related in history, but the ecosystem is now split across different community paths. Many teams compare Presto with Trino when they need to choose a query engine for federated analytics. A good specialist should explain connector support, operational fit, and migration impact rather than treat them as identical.
A strong Presto specialist usually knows SQL well, plus data lake storage, catalog services, and connector setup. Useful adjacent skills include Hive Metastore, object storage, Kubernetes, and observability tools. For many projects, the ability to tune schemas and understand source-system behavior matters just as much as engine configuration.
You usually need deeper Presto expertise when query performance drops, source systems multiply, or a migration changes the data layout. It also helps when security, access control, or cost-aware query patterns become important. For a simple proof of concept, broad SQL knowledge may be enough, but production work needs stronger engine knowledge.
Yes. Presto work is often remote-friendly because much of the job is query tuning, catalog setup, and troubleshooting through logs and plans. In Germany, remote collaboration is common, while on-site sessions can help with platform reviews, stakeholder alignment, or sensitive data governance topics.
Look for clear explanations of execution plans, connector trade-offs, and the reasons behind each tuning choice. A good Presto professional can show how they reduced scan time, stabilized queries, or improved access to shared data sources. They should also document what was changed so the platform stays manageable after the project.
Typical Presto deliverables include connector configuration, query optimization, catalog setup, and deployment support. You may also get troubleshooting notes, monitoring improvements, or guidance for migrating workloads from one SQL engine to another. Good freelancers leave behind a setup that is easier to operate and extend.
No. Presto is usually used by analytics and data platform teams, but business intelligence users, data scientists, and platform specialists also benefit from it. Any team that needs fast SQL across multiple data sources can use it, provided the setup and governance are designed well.
The average hourly rate of freelancers in Germany who have used Presto in their recent projects is 106 €, which corresponds to a daily rate of about 850 € based on an 8-hour working day.
Of the freelancers in Germany who have used Presto in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Germany who have used Presto in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Presto in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Germany who have used Presto in their recent projects are Automotive (71%), Information Technology (71%), and Banking and Finance (57%).
The most common business areas among freelancers in Germany who have used Presto in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (86%).
Main locations of FRATCH Experts, who have recently used Presto
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
