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Регистрация: 29.05.2023

Портфолио

San Francisco, United States of America, MOG - Software Developer

First employee of the start-up MOG, Inc. Worked on backend software, databases and infrastructure. Implemented algorithms to customize user experience.

Self-employed - Consultant - Data Strategy

Consultant Data Strategy & Solution Architect Consultant / Data Architect with more than 15 years of experience supporting organizations to design, develop and execute on a data strategy Data Strategy: Support the customer to define and develop a data strategy that supports the business and enables new ways to design and build business processes. Requirements Engineering: Understanding customer needs and business requirements and translating them into IT infrastructure and data-driven processes. Implementation: Support customers implementing a data strategy based on the business requirements, contributing best practices and experiences on how to design, build, deploy and operate data processing backend systems and processes. Enablement: Supporting and enabling teams to efficiently build and operate data-driven processes, sharing knowledge and best practices on designing and implementing reliable ETL processes. Advanced Knowledge Areas: Data Strategy, Data Infrastructure, ETL processes, Data Engineering, Data Warehousing, Big Data Technologies, Cloud Infrastructure, Container Runtimes

Berlin, Germany AltusInsight GmbH - Founder & Managing Director

Founder of AltusInsight, a company that developed a deployment platform for big data applications. After Initially building the prototype I secured investment and was responsible for product development and hiring. At the end the company failed as application deployment had a strong competition from the cloud providers.

Скиллы

Architect AWS Cloud / Data Platform
Container & Kubernetes
Data / AWS Cloud Engineer
Design & building data-driven backends
DevOps CI/CD Automation
Requirements Engineering
Technology & Team Enabler
Java
SQL
Spring Boot
Python
Terraform
Spark
Hadoop
Kafka
GitLab

Опыт работы

Data Engineer
с 10.2024 - По настоящий момент |Rapid Innovation GmbH
Google Cloud, GKE, SQL, Dbt, Kotlin, Kafka, Pekko, GitHub
Supply chain management consulting and implementation services. ● Support in creation of master data set for a supply chain management application from multiple heterogeneous sources. ● Design and implementation of ETL and data pipelines ● Implementation data quality dashboard for business critical KPIs ● Deployment and monitoring of various data pipelines
Consultant / Data Engineer
09.2023 - 10.2024 |Data warehouse consulting services
AWS Cloud, Spring Boot, Java, Docker, GitLab
Support and implementation services. ● Consulting services data model, deployment strategies, process design. ● Design and implementation of various ETL processes. ● Workshops and knowledge transfer on cloud and data architecture, process design.
Solution Architect / Cloud Architect
07.2021 - 10.2023 |Data warehouse migration
AWS Cloud, LakeFormation, Glue, EMR, Athena, Lambda, SQS, S3, Docker, Spark, Hadoop, Airflow, Terraform, Python, GitLab
Concept and support of an on-premise data warehouse migration towards the cloud. ● Design and implementation of a cloud-based data warehouse infrastructure based on AWS Managed Services. ● Help in migrating various data processing jobs from Cloudera to AWS Managed Services. ● Design and implementation of deployment pipelines for testing and rollout. ● Workshops and knowledge transfer on cloud and data architecture, process design.
Solution Architect / Data Engineer
06.2020 - 12.2022 |Cloud based data warehouse
AWS Cloud, Kubernetes, Docker, Spark, Airflow, Kafka, Terraform, Python, Kustomize, GitLab
Design and implementation of a cloud-based data ware house for processing user related data. ● Implemented workflows to fetch data from various third-party providers. ● Building and enabling a team to create new ETL processes. ● Realtime integration of a market automation software suite. ● Implemented modern ETL processing environment using Airflow, Spark and Kubernetes. ● General advice on data architecture and data management.
Solution Architect
08.2019 - 12.2019 |Sensor data processing
AWS Cloud, Kubernetes, Kafka, Spark, Bamboo, Java, Docker, Terraform
Design of AWS managed infrastructure platform for sensor data processing, extension of an existing data science environment. ● Advice on design and tools for building a Kubernetes based infrastructure platform for sensor data processing. ● Design and implementation of infrastructure components on Kubernetes. ● Design and implementation of the ETL pipeline for data collection. ● Design and implementation of CI/CD pipeline with Bamboo & Kubernetes.
Solution Architect / Data Engineer
01.2019 - 03.2020 |Data analytics on car measurement data
AWS Cloud, Lambda, IAM, Airflow, Kubernetes, Terraform, Python, Jenkins
Design and implementation of a cloud-based data warehouse for evaluation of vehicle data. Design and implementation of a data science environment. ● Extended a prototype and put into operational readiness for a production environment. ● Design and implementation of a CI / CD pipeline. ● Setup of project structure and release management. ● Implemented various ETL pipelines for car measurement data collection, validation and -transformation.
Solution Architect / Data Engineer
10.2017 - 11.2018 |Data science environment
AWS Cloud, Kubernetes, Spark, R, NiFi, Terraform, Docker, Jupyter NB
Design and implementation of a cloud-based data warehouse & data science environment. ● Designing data warehouse architecture & data storage strategies. ● Architecture proposal of a dynamically scalable data warehouse. ● Implementation of infrastructure components in Terraform & Kubernetes. ● Implementation of infrastructure components in Kubernetes. ● Development of ETL pipelines for data collection.
System Architect / Consultant Data Strategy
05.2017 - 12.2018 |Micro service architecture
Micro Services, Java, Docker, Kafka, Liquibase, Jenkins
Support conception and implementation/migration of a monolith into a micro service architecture. ● Alignment and coordination of different teams regarding technology usage. ● Introduction of Kafka as the central message bus for micro service communications. ● Introduction of LiquiBase for database schema management. ● Professional / technical support for a specific micro service.

Образование

Advanced Electromagnetics (Магистр)
1998 - 2004
TU Ilmenau

Языки

НемецкийРоднойАнглийскийСвободно владею