Till Hartwig

Berlin

verfügbar

Letztes Update: 05.10.2023

Solutions Architect, Machine Learning Engineer

Firma: PROTOS Technologie GmbH

Abschluss: BSc

Stunden-/Tagessatz: anzeigen

Sprachkenntnisse: deutsch (Muttersprache) | englisch (verhandlungssicher)

Schlagwörter

Information Engineering Data Architecture Machine Learning APIs Architektur Continuous Integration ETL Devops Prozessdesign Solution Architecture + 4 weitere Schlagwörter anzeigen

Dateianlagen

Till-Hartwig-Profil-ENG-Data-Engineering_051023.pdf

Skills

Focus:
 AWS Architecture
 Data Engineering/ Machine Learning/ Data Science Data Engineering & Data Architecture:
 Data engineering including ETL-Pipelines
 Conceptual design of data architecture
 Data management
 Expert in the context of launching, developing, and operating in the cloud and provisioning IaC with Terraform
 DevOps & CI/CD process design and implementation
 Backend development and serverless API - implementation

Projekthistorie

08/2023 - bis jetzt

Backend developer for the implementation of a workflow tool for the provisioning of access privileges and an API connection to a firewall

(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)

Architecture design for a highly available and highly secure application with serverless AWS services (AWS S3, Lambda, Route53, CloudFront, AWS WAF, AWS Cognito, AzureAD and Step Functions)
Implementation of unit and integration tests
API development according to OpenAPI standards
DevOps processes für provisioning and utilization with CI/CD Pipelines (AWS-Pipeline, CodeCommit, CodeBuild)
Implementation of infrastructure-as-code with Terraform
Scrum workflow utilizing JIRA and Confluence as project management tool

07/2023 - bis jetzt

Cloud & data architect for a cloud-native application for asset management of large enterprises

(Internet und Informationstechnologie, 10-50 Mitarbeiter)

Architecture design on AWS utilizing infrastructure-as-code with Terraform
Design and implementation of a database with AWS RDS MySQL
Implementation of a data lake and ETL-Pipelines with AWS S3, Glue, Athena and Iceberg tables
AWS Route53, CloudFront, API-Gateway and Lambda for routing and provisioning
DevOps processes für provisioning and utilization with CI/CD Pipelines (AWS-Pipeline, CodeCommit, CodeBuild)
Logging and monitoring via AWS CloudWatch, AWS X-Ray and Access Logging
Scrum workflow utilizing JIRA and f as project management tool

05/2021 - 05/2023

Market Research Analysis for a Leading German Company for eco-friendly consumer goods, making extensive use of MLOPS

(Internet und Informationstechnologie, 50-250 Mitarbeiter)

Evaluated the feasibility of launching a new sustainable product by analyzing market trends and consumer demand with CEO
Conducted extensive market research using traditional and machine learning methods to analyze consumer behavior and identify emerging trends
Worked with data science team to analyze social media and online forums using algorithms to understand consumer sentiment
Developed predictive models utilizing machine learning to forecast consumer demand and assess the product’s potential impact