Schlagwörter
Skills
Business Expertise, mainly in Technology, Analytics, and Data Science:
- General company foundation process, based on my experience in building Coya from day one. Strategy, business planning, hiring
- Act as a business partner to C-level in terms of data and technology topics
- Creating change by implementing a data-driven culture across the organisation
- Technical Architecture Design
- Build teams and technical processes
- Data Strategy design and implementation
Technical Expertise:
- Customer analytics, 360° review, segmentation
- Clustering, regression methods applied to business problems.
- Data engineering, integration to third-party systems, like CRM
- Data visualisation
- Product analytics
- CLTV analysis
- Marketing analytics, budget optimisation and clever campaign cost controlling
Tools, programming languages, and cloud (relevant experience to date)
- AWS, Google Cloud
- Dbt, Airflow
- Looker, Tableau
- Python, Terraform, Bash, and of course, SQL.
- Snowplow, Google Analytics
- Redshift, Exasol, BigQuery
Projekthistorie
Top Music Label Worldwide: Revamping a data platform and processes using Airflow on Google Cloud and Big Query for a worldwide music label (60+plus pipelines, software upgrade and server consolidation). I have set up a staging/production development flow (CI/CD) and reduced the onboarding from 2 months to 3 days by consolidating the access to cloud resources. I have trained data analysts and onboarded new data engineers. I have integrated a new ERP into the different reporting platforms and two CRM systems.
Tech Stack : Google Cloud, Python, BigQuery, Airflow Composer, Kubernetes, Docker, PostgreSQL, GitLab, GitHub, CI/CD, SQL, Linux, SQL
"Sebastian ist bei uns seit Oktober 2021 als Data Engineer im Einsatz und hat uns dabei geholfen, die gesamte interne Plattform “generalzuüberholen”, mit modernsten Technologien auszustatten sowie die internen Prozesse zu refactoren. Er übernimmt sehr gern Verantwortung und leistet mit seiner starken technologischen und methodischen Kompetenz einen großen Mehrwert für uns. Durch seine zusätzlich menschlich super angenehme Art und seine proaktive Arbeitsweise unterstützt er uns prima, wir sind sehr mit seinem Projekteinsatz zufrieden."
Achievements/Tasks
From day one, the Founder: set up many aspects of the company and hired engineers and other non-technical personnel. Finally, in 2018, we received the insurance license from the German Financial Supervision Authority (BaFin). I had entire personnel and
budget management of engineering and analytics (7 million Euros over three years)
From Q4 2019 onwards, I focused on bringing data topics to my c-level colleagues, team leads, and employees.
I led data science initiatives and automation projects, including claims settlement automation, saving thousands of human hours.
Tech Stack : Amazon Web Services (AWS), Python, Looker, SQL, Redshift, Lambda, PostgreSQL, Airflow, Sagemaker, Linux, Snowplow, Google Analytics
Achievements/Tasks
Setup of the roadmap, hiring 3 data engineers, and management of six engineers. Successful research on user mobility, to launch a new product. Significant reduction of technical debt: clean up redundant code and data stores.
Tech Stack : Google Cloud, Python, BigQuery , SQL, Tableau, Luigi, Linux, Google Analytics
Contact: on request
Kreditech was a digital lending start-up that operated in 8 countries. Hired as BI Analyst, promoted to Team Lead BI Finance after 12 months
Achievements/Tasks
- Setting up financial and portfolio reports, which secured investments and debt financing up to 200 million USD.
- Implementing a credit business financial statement following IFRS standards for audit purposes and investors.
- Reducing the BI architecture footprint by consolidating servers and data stores.
- Significant improvement of data quality and met local regulator requirements.
Tech Stack : On-prem, Exasol, SQL, Pentaho, Tableau
As a data quality analyst, I improved the data quality of key data sets for the actuarial team and designed a data migration strategy to consolidate 25% of the business portfolio.
As data governance analyst: Implementation of a Data Governance Framework, which included data quality and data change management guidelines, quality performance indicators and related software implementation.
As BI Specialist: upgrade nine databases, set up a virtual client for my colleagues based outside Europe and set up a deployment process. Implementation of ETL processes and reports.
Tech Stack : On-prem, Oracle, SQL, Cognos 8.2, OWB, Unix
Achievements/Tasks
I led a 3-member team of analysts, providing quality analytics support to a German leading investment bank, focusing on equity
research topics.
Eliminated a nearly 10% error rate, thanks to a data quality management tool we implemented.
Team Recognition: "Best Team Award" and "Special Merit for Valuable Contributions to Quality & Productivity."
Contact: on request