Lead Developer & Architect
Automotive
(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)
Schlagwörter
Skills
10+ years experience in Data Science and Data Engineering.
5+ years experience in Data Consultancy.
Selected Programming Languages:
Julia, Python, R, SQL, Scala, Matlab, Java, C++, Haskell, ROS, JavaScript, HTML, CSS (Web Stack)
Selected Industries:
Telecommunication, Automotive, Retail, Bonus Program, Media, Manufacturer
Selected Data Science Fields:
Statistics, Machine Learning, Deep Learning, Computer Vision, NLP Natural Language Processing, Analytics, Anomaly Detection, Time Series Prediction, Recommendation, Object recognition, ETL, Data Pipelines, Data Lake, Visualization, Dashboards
Selected Big Data:
Julia, Dask, PySpark, Spark, Hadoop MapReduce, Data Lake Setup, Yarn, HDFS, Hive, HBase
Selected Database:
PostgreSQL, MongoDB, MySQL, Oracle, Microsoft, Hive, HBase
Cloud:
AWS, Azure, Infrastructure-as, code, terraform, cloudformation, sceptre
AWS:
S3, SNS, Kubernetes, AWS VPC, ETL, CRM, API, pandas, AWS SNS, AWS SQS, PostgreSQL, MongoDB, AWS DocumentDB, AWS API Gateway, AWS Cognito, AWS Lambda, infrastructure-as-code cloudformation, Lambda, AWS Transit Gateway, AWS Networking, EC2, AWS Session Manager, AWS CloudWatch
Azure:
Azure Machine Learning, Azure App Service, Azure AD, infrastructure-as-code terraform
Methodology:
Scrum, Waterfall
5+ years experience in Data Consultancy.
Selected Programming Languages:
Julia, Python, R, SQL, Scala, Matlab, Java, C++, Haskell, ROS, JavaScript, HTML, CSS (Web Stack)
Selected Industries:
Telecommunication, Automotive, Retail, Bonus Program, Media, Manufacturer
Selected Data Science Fields:
Statistics, Machine Learning, Deep Learning, Computer Vision, NLP Natural Language Processing, Analytics, Anomaly Detection, Time Series Prediction, Recommendation, Object recognition, ETL, Data Pipelines, Data Lake, Visualization, Dashboards
Selected Big Data:
Julia, Dask, PySpark, Spark, Hadoop MapReduce, Data Lake Setup, Yarn, HDFS, Hive, HBase
Selected Database:
PostgreSQL, MongoDB, MySQL, Oracle, Microsoft, Hive, HBase
Cloud:
AWS, Azure, Infrastructure-as, code, terraform, cloudformation, sceptre
AWS:
S3, SNS, Kubernetes, AWS VPC, ETL, CRM, API, pandas, AWS SNS, AWS SQS, PostgreSQL, MongoDB, AWS DocumentDB, AWS API Gateway, AWS Cognito, AWS Lambda, infrastructure-as-code cloudformation, Lambda, AWS Transit Gateway, AWS Networking, EC2, AWS Session Manager, AWS CloudWatch
Azure:
Azure Machine Learning, Azure App Service, Azure AD, infrastructure-as-code terraform
Methodology:
Scrum, Waterfall
Projekthistorie
09/2020
-
03/2021
Supporting Usecase Development on Datalake
Guidance was provided for architectural decisions, adapting access policies, and debugging routing issues. A specific GDPR treatment ingestion processes was implemented and rolled-out. In production.
Duration: 6 months
Team setting: Team Lead, Team of 2, remote
Technologies: Infrastructure-as-code, cloudformation, sceptre, python, boto3, PySpark, scala, Spark, AWS Glue, AWS Secrets,
Guidance was provided for architectural decisions, adapting access policies, and debugging routing issues. A specific GDPR treatment ingestion processes was implemented and rolled-out. In production.
Duration: 6 months
Team setting: Team Lead, Team of 2, remote
Technologies: Infrastructure-as-code, cloudformation, sceptre, python, boto3, PySpark, scala, Spark, AWS Glue, AWS Secrets,
01/2019
-
03/2021
Senior Data Science Consultant & Technical Lead
Machine Learning Reply
(Internet und Informationstechnologie, 10-50 Mitarbeiter)
Everything around data science consultancy:
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- team setup
- team lead
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- architecting data lakes and cloud data infrastructure
- ...
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- team setup
- team lead
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- architecting data lakes and cloud data infrastructure
- ...
06/2000
-
03/2021
Lead Developer & Architect
Automotive
(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)
20 ETL Pipelines on AWS
Replacing an CRM required the development of about 20 ETL pipelines to replace existing systems with new data-flows. Including one REST API. In production.
Team setting: Team Lead, Team of 3, remote
Technologies: AWS Glue, PySpark, python, boto3, pandas, AWS SNS, AWS SQS, PostgreSQL, MongoDB, AWS DocumentDB, AWS API Gateway, AWS Cog
Replacing an CRM required the development of about 20 ETL pipelines to replace existing systems with new data-flows. Including one REST API. In production.
Team setting: Team Lead, Team of 3, remote
Technologies: AWS Glue, PySpark, python, boto3, pandas, AWS SNS, AWS SQS, PostgreSQL, MongoDB, AWS DocumentDB, AWS API Gateway, AWS Cog
01/2020
-
05/2020
Lead Developer & Architect
Automotive
(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)
Building Multitenant Datalake on AWS
Implementing from scratch a datalake platform on AWS which is deployed in several countries using InfrastructureAsCode as the key technology. A key focus was GDPR conformity. In production.
Team setting: Team Lead, Team of 2, remote with a few on-side workshops
Technologies: Infrastructure-as-code, cloudformation, sceptre, python, boto3, PySpark, scala, Spark, AWS Glue, AWS Secrets, AWS IAM, S3, SNS, Lambda, Kubernetes, AWS VPC, AWS Transit Gateway, AWS Networking, AWS EC2, AWS Session Manager, AWS CloudWatch, AWS Sagemaker
Implementing from scratch a datalake platform on AWS which is deployed in several countries using InfrastructureAsCode as the key technology. A key focus was GDPR conformity. In production.
Team setting: Team Lead, Team of 2, remote with a few on-side workshops
Technologies: Infrastructure-as-code, cloudformation, sceptre, python, boto3, PySpark, scala, Spark, AWS Glue, AWS Secrets, AWS IAM, S3, SNS, Lambda, Kubernetes, AWS VPC, AWS Transit Gateway, AWS Networking, AWS EC2, AWS Session Manager, AWS CloudWatch, AWS Sagemaker
04/2019
-
12/2019
Core Developer
Telecommunication
(Telekommunikation, >10.000 Mitarbeiter)
Unification of Existing Time Series Analytics
Several custom anomaly detection solutions on time series were refactored and unified into a generic framework which can be easily deployed to new usecases and new infrastructures (AWS tested). In production.
Team setting: Team of 15, on-site, Scrum
Technologies: Python, PySpark, (PL)SQL, Hive, HBase, Oracle, Tableau
Several custom anomaly detection solutions on time series were refactored and unified into a generic framework which can be easily deployed to new usecases and new infrastructures (AWS tested). In production.
Team setting: Team of 15, on-site, Scrum
Technologies: Python, PySpark, (PL)SQL, Hive, HBase, Oracle, Tableau
07/2018
-
12/2019
Senior Data Science & Engineering Consultant
Data Reply
(Internet und Informationstechnologie, 50-250 Mitarbeiter)
Everything around data science consultancy:
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- ...
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- ...
08/2018
-
03/2019
Data Science Developer
Bonus Program Company
(Marketing, PR und Design, 500-1000 Mitarbeiter)
Recommender System
Designed, implemented, and deployed Big Data recommendation system, now running in production for Millions of daily customers. In production.
Team setting: Team of 1, on-site, weekly reviews
Technologies: On-premise, R, Scala, SBT, Spark, Yarn, HDFS
Designed, implemented, and deployed Big Data recommendation system, now running in production for Millions of daily customers. In production.
Team setting: Team of 1, on-site, weekly reviews
Technologies: On-premise, R, Scala, SBT, Spark, Yarn, HDFS
10/2018
-
11/2018
Quality Assurance & Adviser
Manufacturer
(Konsumgüter und Handel, >10.000 Mitarbeiter)
Review: Custom Datascience Framework
Infrastructure review and code review of a framework implemented build by one of our customers.
Team setting: Team of 1, mixed remote & on-site
Technologies: R, AWS
Infrastructure review and code review of a framework implemented build by one of our customers.
Team setting: Team of 1, mixed remote & on-site
Technologies: R, AWS
09/2018
-
09/2018
Teacher
(Konsumgüter und Handel, >10.000 Mitarbeiter)
Workshop: Developing with Apache Spark
Four one-day workshops at customers, two introductory, the other two advanced. Contents: Performance optimization, monitoring, interfacing Scala-R-Python, best practices
Setting: Group of 15 persons, sole presenter
Technologies: R, Python, Spark
Four one-day workshops at customers, two introductory, the other two advanced. Contents: Performance optimization, monitoring, interfacing Scala-R-Python, best practices
Setting: Group of 15 persons, sole presenter
Technologies: R, Python, Spark
06/2017
-
08/2018
Data Science Developer
Bonus Program Company
(Marketing, PR und Design, 5000-10.000 Mitarbeiter)
Fraud Detection
Draft, development, implementation, evaluation and deployment of an anomaly detection system to detect previously unkown types of fraud.
Team Setting: Team of 1, on-site, review once every three months
Technologies: R, Scala, Spark, Yarn
Draft, development, implementation, evaluation and deployment of an anomaly detection system to detect previously unkown types of fraud.
Team Setting: Team of 1, on-site, review once every three months
Technologies: R, Scala, Spark, Yarn
11/2016
-
07/2018
Data Science Consultant
Data Reply
(Internet und Informationstechnologie, 10-50 Mitarbeiter)
Everything around data science consultancy:
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- ...
- recruiting new colleagues
- pitching new projects
- request for proposals
- requirements engineering
- conceptualization of data science or data engineering solution
- development of data science or data engineering solutions
- giving workshops, trainings
- auditing customers solutions
- ...
11/2016
-
04/2017
Data Science Developer
Telecommunication
(Telekommunikation, >10.000 Mitarbeiter)
Callcenter and Webcontent Optimization using Speech Analytics.
A 3 dimensional content detection system was setup for written conversations. Given only plain text, it identifyed customer specific product entities, services, and problems.
Team Setting: Team of 3, on-site, reviews every week
Technologies: Python, NLP, spacy
A 3 dimensional content detection system was setup for written conversations. Given only plain text, it identifyed customer specific product entities, services, and problems.
Team Setting: Team of 3, on-site, reviews every week
Technologies: Python, NLP, spacy
01/2016
-
09/2016
Python Developer
Trufflebit
(Internet und Informationstechnologie, < 10 Mitarbeiter)
Data Parsing
Build parser to extract time series data from customer specific text data formats
Team Setting: Team of 1, remote, steady exchange with CEO
Technologies: Python, PyParsing, Cython
Build parser to extract time series data from customer specific text data formats
Team Setting: Team of 1, remote, steady exchange with CEO
Technologies: Python, PyParsing, Cython
09/2015
-
01/2016
Web Developer
Trufflebit
(Internet und Informationstechnologie, < 10 Mitarbeiter)
Web Visualization
Build Django based web-dashboard with Bokeh based interactive data analysis visualization.
Team Setting: Team of 1, remote, steady exchange with CEO
Technologies: Python, Django, Bokeh
Build Django based web-dashboard with Bokeh based interactive data analysis visualization.
Team Setting: Team of 1, remote, steady exchange with CEO
Technologies: Python, Django, Bokeh
04/2013
-
03/2014
Computer vision & Object recognition
University of Osnabrück
(Industrie und Maschinenbau, 10-50 Mitarbeiter)
Building an Autonomous Robot
Programmed robot with wheels and arms to grab a muffin from the receptionist on first floor, take the elevator, and bring it to the robotics lab.
Team Setting: Team of 14, on-site, Scrum
Technologies: ROS, Gazebo, SCRUM, Python, C++, OpenCV
Programmed robot with wheels and arms to grab a muffin from the receptionist on first floor, take the elevator, and bring it to the robotics lab.
Team Setting: Team of 14, on-site, Scrum
Technologies: ROS, Gazebo, SCRUM, Python, C++, OpenCV
Reisebereitschaft
Weltweit verfügbar
Travelling within Germany, Austria and Switzerland.
Remote work is preferred.
» International availability only remote «br />
--------------------------------------- DEUTSCH ---------------------------------------
Reisebereitschaft innerhalb Deutschland, Österreich und Schweiz
Remotearbeit ist bevorzugt
» Internationale Verfügbarkeit ausschließlich remote «
Remote work is preferred.
» International availability only remote «br />
--------------------------------------- DEUTSCH ---------------------------------------
Reisebereitschaft innerhalb Deutschland, Österreich und Schweiz
Remotearbeit ist bevorzugt
» Internationale Verfügbarkeit ausschließlich remote «
Sonstige Angaben
Berufshaftpflichtversicherung
Hiscox SA
Niederlassung für Deutschland
Hauptbevollmächtigter für Deutschland: Robert Dietrich
Arnulfstr. 31
80636 München
Räumliche Geltung: Deutschland
Hiscox SA
Niederlassung für Deutschland
Hauptbevollmächtigter für Deutschland: Robert Dietrich
Arnulfstr. 31
80636 München
Räumliche Geltung: Deutschland
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