Design and build scalable data processing systems

As Analytics Engineer, I create data products that empower stakeholders to derive valuable insights into your business.

I support your team in designing and building a data processing system tailored to your needs using state-of-the-art technologies.

Data Processing

Data pipelines extract, load and transform data from source systems to a data warehouse. I use modern processing solutions, which are scalable and can handle large amounts of data to orchestrate and build reliable data pipelines.

Storage

To create insightful analytics, a well-structured and maintained data warehouse is essential. I design and implement data models using different data modeling techniques to build up a clean structure for your data warehouse. Depending on your needs, these data warehouses can be on-premise or cloud-based.

Collaboration

Analytics Engineers build a bridge between data engineering and data analytics. I collaborate closely with data analysts to understand business requirements and transform those requirements into technical solutions.

Data Visualization

There are hundreds of different ways to visualize your data. Generate a report, create a dashboard or implement to web application? I support you with the visualization method that suits your needs and implement it using up-to-date visualization technologies.

About me

Moin, I’m Sven. I am a freelance Analytics Engineer with around five years of experience in various data projects.

Originally I started my career in aeronautical engineering, but after I finished my master’s degree, I began to follow my passion which was more software than hardware driven. I spent a couple of years accomplishing and leading different projects in data analytics for the aircraft industry before I started my career as a freelancer in analytics engineering.

Today I support companies building powerful data platforms by applying software engineering best practices with modern technological solutions.

When I am not at work, you can find me enjoying a lot of different sports. I play badminton, go for bike rides, go standup paddling on the Alster, and many more.

Sven Gonschorek

Hamburg, Germany

Freelance Analytics Engineer

Tech Stack

Data Warehousing:

AWS Redshift

Snowflake

Google BigQuery

Microsoft SQL Server

Data Processing:

dbt (Data Build Tool)

Apache Airflow

Spark

Languages:

Python

SQL

WebDev (HTML, CSS, JavaScript)

Others:

git

Palantir Foundry

Docker

Certifications:

Professional Data Engineer

by Google Cloud

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A data engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A data engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.