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senior
Registration: 29.05.2023

Christian Richter

Portfolio

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.

Skills

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

Work experience

Data Engineer
since 10.2024 - Till the present day |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. Extented 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

Educational background

Advanced Electromagnetics (Masters Degree)
1998 - 2004
TU Ilmenau

Languages

GermanNativeEnglishProficient