Presto Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Presto
Nune I.
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.
Padma Priya S.
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.
Felix B.
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
Jürgen F.
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 P.
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.
Adithya B.
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
14 years
Position duration
2.2 years
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Automotive, Banking and Finance
Bachelor's degree or higher
100%
Master's degree or higher
60%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Presto 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 (83%)
- Automotive (67%)
- Banking and Finance (67%)
- Aerospace and Defense (33%)
- Energy (33%)
- Healthcare (33%)
- Manufacturing (33%)
- Telecommunication (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Presto does
Presto is a distributed SQL query engine for fast analytics across many data sources. It lets teams query data where it lives, instead of moving everything first. That makes it a fit for reporting, ad hoc analysis, and data exploration on large datasets.
Typical use cases
- Interactive SQL on data lakes
- Federated queries across warehouses and object storage
- BI dashboards and analyst queries
- Event, log, and product analytics
Presto often appears in stack notes with PrestoSQL or PrestoDB. Strong specialists know when it should sit in front of Hive, Iceberg, Kafka, or cloud storage, and when another query layer is a better fit.
Ecosystem skills
Good experts work across connectors, catalog setup, query tuning, and access control. They also understand partitioning, file formats, and how source systems affect latency. In Germany, this is especially useful when teams need to align with local data teams, cloud setups, and English-language documentation at the same time.
When to bring help
Bring in freelance expertise when queries are slow, source systems are hard to join, or dashboards depend on fragile SQL. It also helps during platform changes, connector rollout, or migration from older Presto setups.
What strong specialists do
Strong professionals read query plans, spot data skew, and reduce expensive scans. They also know how to debug connector issues, improve catalog design, and keep SQL readable for analysts and other specialists. The best ones balance speed with stable access patterns.
Delivery and collaboration
Presto work is often remote, because query tuning and catalog changes can be done from shared environments. On-site work still matters when teams need close access to data owners, security staff, or business analysts. Clear communication is important, especially when several data sources and teams are involved.
Frequently asked questions
Key details about Presto, drawn from the questions we get asked most.
Presto is used for fast SQL analytics across multiple data sources without forcing all data into one place first. Teams use it for reporting, ad hoc analysis, and federated queries over lakes, warehouses, and streaming or event data. It is a good fit when analysts need one query layer over different systems.
Presto is the name many teams still use for the original distributed SQL engine, while Trino is the project that came out of the former PrestoSQL branch. In practice, companies often care less about the label and more about connector support, query behavior, and operational fit. A strong specialist should know the differences and the migration path if a team is moving between them.
A strong Presto specialist should know connectors, catalogs, file formats, partitioning, and access control. Familiarity with Hive, Iceberg, object storage, and BI tools is often important too. The best work also includes reading query plans and finding the source of slow scans or expensive joins.
Presto projects usually need more than basic SQL knowledge, especially when the work involves tuning or multiple data sources. For simple dashboard support, a focused specialist may be enough. For platform design, migration, or reliability work, you want someone who has handled production setups before.
Yes, Presto work is often done remotely because most tasks happen in shared query environments, catalogs, and documentation. In Germany, remote collaboration is common when the data platform team, analysts, and business stakeholders are in different locations. On-site time can still help when security reviews or data access questions need fast alignment.
Presto help is worth bringing in when queries are slow, connectors fail, or reporting depends on SQL that few people understand. It is also a sign when teams spend too much time moving data instead of querying it. A specialist can usually help simplify the setup and stabilize access.
Look for someone who can explain why a query is slow, not just rewrite it. A good Presto expert should be comfortable with query plans, catalog design, and the trade-offs between speed, cost, and governance. Clear notes, readable SQL, and practical fixes matter more than vague tool claims.
Presto is commonly connected to Hive tables, Iceberg, object storage, and sometimes Kafka-backed or warehouse sources. The exact mix depends on how the company stores data and how analysts query it. A strong specialist understands how those sources affect latency, freshness, and permissions.
The average hourly rate of freelancers in Germany who have used Presto in their recent projects is 111 €, which corresponds to a daily rate of about 889 € 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 60% hold at least a Master's degree.
On average, freelancers in Germany who have used Presto in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used Presto in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Germany who have used Presto in their recent projects are Information Technology (83%), Automotive (67%), and Banking and Finance (67%).
The most common business areas among freelancers in Germany who have used Presto in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (83%).
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
