Kevin Viraud

Software Engineer

Berlin, Germany16 yrs 4 mos experience

Key Highlights

  • Led the design of a scalable data platform from scratch.
  • Mentored over 100 data engineers and analysts.
  • Prototyped data applications for monetization.
Stackforce AI infers this person is a Data Engineering expert with a strong focus on SaaS and Business Intelligence.

Contact

Skills

Core Skills

Data ArchitectureData EngineeringData WarehousingBusiness IntelligenceSoftware Development

Other Skills

AWSAWS GlueAirflowAmazon RedshiftAmazon S3Amazon Web Services (AWS)Apache AirflowBusiness Intelligence (BI)Cloud ComputingData AnalysisData GovernanceData LakesData ModelingData MonetizationData Pipelines

Experience

Blacklane

Staff Data Engineer

May 2025Present · 10 mos · Berlin, Germany

Adference - amazon ppc tool

Lead Data Engineer

Jul 2023Apr 2025 · 1 yr 9 mos · Lunenburg, Lower Saxony, Germany · Remote

Jokr

Data Architect

Apr 2021May 2023 · 2 yrs 1 mo · Germany

  • Data Architect / Lead Data Engineer
  • ● Led team of up to 4 (data / sofware engineers, data modeler, QA specialist)
  • ● Designed / built and scaled JOKR's Data Platform - based on Snowflake - from scratch including cost management and budgeting of the data stack
  • ● Worked closely with I.T and key stakeholders (BI, Product, Warehouse Ops, Pri- cing...) in order to collect business requirements and enable the relevant use cases on the Data Plartform
  • ● Defined Governance standards for the Data Platform - including GDPR - as part of an "hybrid" Data Mesh model.
  • ● Prototyped Data Apps for Data Monetization as part of the JOKR Media initiave (now in production).
Data ArchitectureData EngineeringSnowflakeData GovernanceData Monetization

Delivery hero se

2 roles

Principal Data Engineer

Promoted

Jan 2019Jan 2021 · 2 yrs

  • Principal Data Engineer - International Data
  • Extended and improved datawarehouse stack :
  • ● Designed data pipelines for near real time analysis (Kinesis / Glue / EMR / Redshift)
  • ● Designed a serverless view of the Central DWH data model (S3 / Glue / Athena)
  • ● Worked closely with the AWS Team in Berlin (Redshift) to solve key uses cases
  • Mentored other teams members / analysts and provided internal consulting.
  • ● Trained more than 100 data engineers / analysts (SQL / Redshift / optimization trainings)
  • ● Designed ad-hoc data infrastructure (AWS) for specific use cases
Data WarehousingData PipelinesAWSKinesisRedshiftData Engineering

Senior Data Engineer

Dec 2016Dec 2018 · 2 yrs

  • Extended and improved datawarehouse / B.I stack and pipelines.
  • ● Took part in rebuilding the data warehouse (Redshift) from scratch - including modelling
  • ● Introduced Airflow for job orchestration and designed an inhouse framework for non Python developers
  • ● Designed, implemented and optimized ETL pipelines
Data WarehousingETLAirflowRedshiftData EngineeringBusiness Intelligence

Rocket internet ag

Senior Business Intelligence Engineer

Sep 2014Nov 2016 · 2 yrs 2 mos · Berlin

  • Extended and improved B.I stack based on Postgres and Redshift.
  • ● Designed an inhouse ETL tool to easily pull data data from relational databases in an optimized way
  • ● Wrote ETL pipelines for multiple platforms such as Facebook, Adwords, Google Analytics, Salesforce...
  • ● Designed a customers deduplication solution in order to provide a single customer view for more accurate analysis
  • Administrative setup of the BI stack and technical support for Rocket Internet companies.
  • ● Setting up EC2 servers, scheduler, inhouse B.I tools and databases
  • ● Data Warehouse modelling
Business IntelligenceETLPostgresRedshiftData Engineering

Lincoln

Business Intelligence Engineer (Consultant)

Sep 2011May 2014 · 2 yrs 8 mos · Greater Paris Metropolitan Region

  • June 2013 / May 2014
  • PACIFICA (Crédit Agricole Insurance) – Business Intelligence department
  • ● Data analysis / reporting and optimization (SAS and Excel based)
  • ● Wrote a fully parameterizable insurance rate calculator in order to evaluate impact of product changes on future revenues
  • May 2013 / June 2013
  • Crédit Agricole Consumer Finance – Risk department
  • ● Automation and optimization of SAS analysis involving large datasets
  • ❖ Managed to reduce run time of critical jobs by 10 within 4 weeks
  • Sept. 2011 / April 2013
  • EDF Commerce – Dataming Department
  • ● Code review and optimization (algorithmic and SQL) of running SAS analysis
  • ❖ Large datasets
  • ❖ Complex environment with multiple data warehouses and years of historical data
  • ● Data analysis, data sampling
  • ● Migrated analysis onto a new data warehouse including data quality and logic checks.
  • ● SAS support (optimization, best practices) for business analysts in and outside the department
Data AnalysisSASExcelBusiness Intelligence

Crédit agricole consumer finance

2 roles

Software Engineer for Business Intelligence (working student)

Sep 2008Jul 2011 · 2 yrs 10 mos · Greater Paris Metropolitan Region

  • Developed BI oriented softwares for the Business Intelligence department.
  • ● Designed and developed a web Data Catalog aggregating heterogeneous metadata into an easy and browsable tool with a business friendly approach
  • ● Developed and integrated plug-ins into SAS 9
  • ● Designed an in-house SVN-based versioning / secured-delivery solution for SAS projects
Software DevelopmentBusiness Intelligence

Web Developer (intership)

Apr 2008Jun 2008 · 2 mos · Greater Paris Metropolitan Region

  • Developed front and back-office web applications for the Customer Care department

Education

Ecole polytechnique de l'université Paris-Sud

Engineering degree — Computer science

Jan 2008Jan 2011

IUT Orsay

DUT (2 years degree) — Computer science

Jan 2006Jan 2008

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