Technologies & Skills: Data Engineering, Software Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced data engineer looking for data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Data Engineering, Software Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced data engineer looking for data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request), LLMs, AI Engineering
Experienced data engineer looking for software / data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced data engineer looking for software / data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced engineer looking for software / data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced Engineer looking for software / data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced Engineer looking for software / data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.
Technologies & Skills: Software Engineering, Data Engineering, Data Modelling, Data Strategy, Python, SQL, FastAPI, flask, AWS, Azure, PySpark, API design, C++, CMake, ARINC, Linux (full list on request)
Experienced Engineer looking for Software or Data Engineering contracts.
My main goal is to support you in developing great products that require data. From data exploration to fully automating data flow in your products and organization. I have also worked successfully with many custom setups that required data integration and automation
7+ years of experience.
Industries: Automotive, Logistics, Aerospace, AdTech
As an experienced software and data engineer, my main expertise is connecting legacy, often custom-developed systems to modern data stacks and infrastructure.
Yes, not saying this is bad at all, just kind of funny. When you think about it it makes sense though. Why wouldn't want someone have a possibility to distribute an efficient engine.
Having a parse-able CV is definitively the most important criterion for your CV though. Ypu don't have to worry about anything else if it's not parse-able
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Ure, if you don't see yourself coding at all or doing technical work, doing consulting in an unrelated things is perfectly fine. I guess it's easier if you already got some experience in the field but at the end of the day the only thing that matters is signing clients
It was okay. I first realized that freelancing might be an option after I was approached by someone on Linkedin to help them with a project and then I had little success with getting more projects but for 2024 I have been booked most of the time.
The things you learn in a startup are mostly applicable to freelancing, too.
I feel you to some extent. I love the challenges and problem-solving but the actual coding part becomes less interesting over time.
I am not quite as far along my career as you but after three failed startup ideas I decided to do freelancing for now. This gives me the opportunity to work on problems that companies really have and while I still code a lot of this is now more focused on the architecture not so much on boring tasks.
Besides that, I also get to see new companies and new projects every couple of months and I am working for myself and not for the secnd vacation home of some boss.
It sounds like consulting could be something you'd enjoy, too.
Also, quitting and finding a new job is really underrated for mental health
Can you provide some more information on what you have worked with?
I find that a lot of people coming from research over-emphasize their research and down-play the engineering side of things that they also had to do in order to do meaningful research.
Anyway, all of this is a continuous spectrum. There are positions that are still closer to research than others but are engineering anyway. In my experience there are little jobs that require you to write papers all the time.
You should think about it like this: What is needed to bring an NLP algorithm to production and which parts of that do I know or don't know.
Medical data for AI training is almost always sources in some more or less shady country because they lack any privacy regulations. It's then annotated by a hoard of cheap workers who may or may not have advanced medical training.
Even "normal medicine" is extremely biased towards male people fitting inside the norm which is why a lot of things are not detected early enough in women or in people who do not match that norm.
Next thing: Doctors often think that their annotations are the absolute gold standard but they don't necessarily know everything that is in an X-Ray or an MRI.
A few years ago we tried to build synthetic data for this exact purpose by simulating medical images for 3D body models with different diseases and nobody we talked to cared about it, because "we have good data".
Lambdas and all the serverless stuff is great until it isn't anymore, because you need another service for this and another service for that which gets a) complex quickly and b) expensive, too.
For an MVP, go EC2 or ECS and a database, possibly S3 storage depending on what you need. MVPs are all about learning about the problem in the most cost-efficient way possible
LinkedIn: https://www.linkedin.com/in/ogarten
Website: https://orellgarten.com
Technologies & Skills: Data Engineering, Software Engineering, Data Modelling & Pipeline Design, Python, FastAPI, SQL, AWS, Azure, DuckDB, API design (full list on request)
Experienced data engineer looking for data engineering contracts to solve business problems.
I usually work on the entire data chain from data generation up to BI or ML use cases at the end. Main focus is data from your business operations (logs, sensor data, process data, ...).
More than 7 years of experience in various industries (Aviation, Automotive, AdTech, ...) where I have helped my clients successfully tackle their challenges.