Freelance available · Toulouse, France
Olivier Manns.
Senior DataOps Engineer · Independent contractor @ ignitabl
I am keen to help, develop and advise on your challenging data projects!
About me
Data platforms, from first idea to production.
I’m a data engineer who builds data platforms that hold up in production. For more than ten years I have designed pipelines, cloud infrastructure and distributed systems for companies in betting, retail, automotive and finance, from raw data all the way to the dashboards and models that depend on it.
I’m currently working with Betclic as a Senior DataOps Engineer. I design and build their unified data platform on AWS following data mesh principles, with streaming and batch pipelines on Apache Flink, Airflow, dbt and Snowflake. When a heavily used service becomes too slow or too costly, I move the critical code to Rust and keep Python for the machine learning.
I have an engineering degree but taught myself to program, and I still enjoy learning new languages and tools. I have worked in demanding production teams and in small innovation teams, and my background in data science and machine learning helps me work closely with data scientists. I believe sharing knowledge and helping others is the best way to grow, and to build teams that last.
- Experience
- 12+ years
- Industries
- Betting, retail, automotive, finance
- Based in
- Toulouse, France
- Status
- Freelance available
Services
What I do.
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Data Platform Architecture
Design of unified data platforms on AWS following data mesh principles: domain-owned data products on a shared, self-serve foundation.
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Streaming & Batch Pipelines
Real-time pipelines with Apache Flink and Kafka, batch with Airflow and dbt, landing in Snowflake. From requirements to production, tested and monitored.
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Performance & Cost Optimization
Big Data also means velocity! Tuning Flink and Spark jobs, SQL and Snowflake workloads, and rewriting hot paths in Rust, while keeping the cloud bill in check.
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DataOps & Infrastructure as Code
Production-ready environments with Terraform, CI/CD, automated tests and alerting, so your data platform scales without surprises.
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Machine Learning in Production
Working hand in hand with data scientists to turn models into reliable services that run inside your product, mixing Python and Rust.
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Expertise & Advice
Architecture reviews, audits and coaching for your teams on data engineering, cloud infrastructure, security and best practices.
Testimonials
What people say.
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.
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
12 years of data engineering.
Experience
-
2023 – Now
Senior DataOps Engineer · Betclic
Industrialize and scale data services as part of a data platform:
- Design and implement the data architecture for a unified data platform relying on the data mesh principle. Implementation of the data services on AWS cloud.
- Improve and maintain a production-ready environment, with infrastructure as code, relying on AWS cloud services and a big data stack for scaling.
- Manage both batch and streaming data using a combination of Apache Flink, Apache Airflow, dbt and Snowflake.
- Performance and cost optimization of highly used backend data services, mixing Rust and Python to get the best performance without giving up on machine learning capabilities.
- Close collaboration with the data scientists and analysts to add services relying on machine learning within Betclic's mobile app.
- Expertise and advice provided to the teams.
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2020 – 2023
Data Engineer · Clas Ohlson
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+ 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, training and advice provided to the teams on data engineering concepts, cloud infrastructure, network security and best practices.
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2017 – 2020
Big Data Engineer · Continental
Improve Continental’s component lifespan thanks to vehicle 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 quantities of data.
- Machine learning model creation and tuning, feature engineering to improve physical models of engine behaviors and pollutant emissions.
Results: More than 20 pipelines and terabytes of structured data queried on a daily basis by 100+ automotive engineers. 2 patents, many models.
Earlier experience (2014 – 2017)
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2017
Data Engineer · CGI – La Banque Postale
- ETL developments.
- Fraud detection algorithm implementation.
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2016 – 2017
Data Engineer · CGI – Société Générale
- Complex transformation and loading of TB of data.
- Specifications and expert advice to a team of developers.
- SQL queries optimization for performance improvement.
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2016 – 2017
Data Engineer · CGI – Thales
- BI and ETL tooling development and monitoring.
- Data analysis and SQL expertise.
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2015
Data Miner · CEA
Uniting scientific researchers 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.
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2014
BI Engineer · University of Nevada, Las Vegas
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.
Education
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2015
Industrial Engineer
ENSEEIHT / ENSIACET
Specialization in renewable energy.
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2012 – 2015
Industrial Engineer
ENSIACET
Process engineering, project management, industrialization.
Data skills
- Apache Flink 90%
- Snowflake 85%
- Data Architecture 80%
- ClickHouse 80%
- Apache Spark 90%
- Distributed Computing 80%
- ETL & ELT 90%
- Microservices 80%
Coding skills
- AWS 85%
- Terraform 90%
- Rust 80%
- Python 90%
- Claude Code 85%
- SQL 95%
- dbt 85%
- Scala 75%
Contact
Let's talk!
A data platform to build, a pipeline to speed up or a cloud bill to shrink? Drop me a line.
- Emailolivier@ignitabl.com
- LocationToulouse, France
- AvailabilityFreelance available
