ignitabl

Big Data Engineer

Independant contractor @ ignitabl

Data Engineer

Freelance @ ignitabl

Olivier Manns

I am a Big Data Engineer with a strong background on Cloud, Data Pipeline design & deployment, and distributed computing. I have worked in the finance and automotive industry on many data development projects, from data extraction to data visualization tools. I also have experience on data science and machine learning subjects in Python. I have been working in both demanding production environnement and flexible innovation teams.

I have an engineering degree but I am a self-taught programmer who still loves to discover new state-of-the-art languages and frameworks. I also believe that sharing knowledge and helping others is one of the best way to grow and make a teamwork durable.

I am keen to help, develop and advise on your challenging data projects !

Let's talk!

What I Do

Data Engineering

From requirements to production! Design, POC, developments, testing, deployments and monitoring of your data platform.

Performance Optimization

Big Data also means velocity! Tuning and optimizing your SQL queries, Spark jobs, ETL jobs,...

Cloud Data Architecture

From infrastructure-as-code deployments to cost optimization of distributed computing and managed services.

Data Visualization

Deploying the perfect visualization tool, matching both your needs and your data. Open Source (Metabase, Superset, Redash, ...) or proprietary (Oracle BI, Power BI, ...) tools.

Testimonials

Olivier allie compétences techniques poussées, esprit de curiosité et un grand sens de la rigueur. Travailler avec lui a été un plaisir et je le recommande sans hésiter à tout recruteur à la recherche de talents big data avec coloration cloud et AI.

Grégory V.

Continental

Olivier has a strong data background, is passionate about his work and has this curiosity and thirst for learning. In a matter of days, he has quickly become invaluable within the team, someone I could truly rely on. Beyond his technical knowledge, Olivier is involved in the business and knows how to leverage the value in the data and discuss it with the stakeholders.

Nicolas T.

Continental

Resume

7 Years of Experience

Experience

2020 - Now

Clas Ohlson

Data Engineer

Industrialize and scale a machine learning project for accurate discounts, item price management and customer loyalty improvement:

Implement a production-ready environment, infrastructure as code, relying on a big data stack for scaling
Data extraction from various source systems (CRM, Analytics, ...)
6+ various data sources loaded on a daily basis, fully automated with tests and alerts, using a mix of Azure services & DBT to keep the cost low
Deployment of an Orchestration tool (Prefect) to ease data pipelines and ML pipelines management
Expertise, formation and advices provided to the teams over data engineering concepts, cloud infrastructure, network security and best practices

Python, Azure, Azure Synapse, Azure Machine Learning, Azure DevOps, Azure DataFactory, Spark, DBT (Data Build Tool), SQL, Databricks, Terraform, Prefect

2017 - 2020

Continental

Big Data Engineer

Improve Continental’s component lifespan thanks to vehicle’s data exploitation:

Design and deployment of an entire scalable data pipeline, from data collection to analysis and interactive visualization
Fully implemented from scratch on AWS with Terraform
Data quantity anticipation: serverless, distributed processing and queries

Multiple machine learning tasks to solve specific automotive issues:

Statistical analysis over large quantity of data
Machine Learning models creation and tuning, feature engineering to improve physical models of engine behaviors and pollutants emissions.

Results: More than 20 pipelines and terabytes of structured data queried on a daily basis by 100+ automotive engineers. 2 patents, many models.

Spark, Kinesis, Lambdas, EMR, AWS Data Pipeline, Athena, EC2, ECS, S3, RDS, Terraform, Python, SKLearn, Spark ML, Tensorflow, Keras, Pandas, Scipy, Plotly

2017

CGI - La Banque Postale

Data Engineer

ETL developments
Fraud detection algorithm implementation

SAS, SQL, Python

2016 - 2017

CGI - Société Générale

Data Engineer

Complex transformation and loading of TB of data
Specifications and expert advises to a team of developers
SQL queries optimization for performance improvement

IBM Datastage, Teradata, TPT, Shell Unix, CTRL-M, SAS

2016 - 2017

CGI - Thales

Data Engineer

BI and ETL tooling development and monitoring
Data analysis and SQL expertise

Oracle database, Oracle BI 10/11g, Informatica Powercenter, Siebel, DAC

2015

CEA

Data miner

Uniting scientific researcher and industrial companies for CEA’s research valorization.

Data mining on patents and scientific publications
Confirm the patentability of an invention, get a technical overview of the market, find a potential practical application, analyze competitors

Questel Orbit, Intellixir, Diane & Orbis, Scopus, WoS, etc.

2014

University Of Nevada Las Vegas

BI Engineer

Business intelligence team player for the Nevada Department of Transportation.
Database management, transformation and loading of data in order to create relevant dashboards
Statistical indicators and geographical map matching scripts

Oracle Data Integrator (ODI), Oracle Administration tool, Oracle Map Viewer, OBIEE 11g. R scripting

Education

2015

ENSEEIHT / ENSIACET

Industrial Engineer

Specialization in renewable energy

2012-2015

ENSIACET

Industrial Engineer

Process engineering
Project management
Industrialization

Data Skills

Data Architecture

80%

Apache Spark

90%

ETL & ELT

90%

Streaming

75%

Distributed Computing

80%

Machine Learning

40%

Data Visualization

85%

Coding Skills

Scala

80%

Python

85%

SQL

95%

AWS

75%

GoLang

65%

Terraform

90%

DBT

85%

Contact

Let's talk!

Toulouse, France

olivier@ignitabl.com

Freelance Available

Contact me!

SASU - SIRET: 88188680800016