Baptiste is available for hire
Hire BaptisteBaptiste Tessiau
Verified Expert in Engineering
Data Engineer and Software Developer
Châteaugiron, France
Toptal member since July 26, 2022
Bio
Baptiste has been a software engineer since 2016, specializing in data since 2017. His primary skill is the Python language. Baptiste also has a good understanding of data architectures within startups where he had the chance to participate in many projects, such as building a data lake and a data warehouse on Google Cloud Platform (GCP), implementing an Amplitude product analysis with Amplitude, and synchronizing the application data with HubSpot.
Portfolio
Klaxoon
Python, SQL, Apache Airflow, Python, Shell, Back-end, Architecture, Pytest...
Procsea
Python, Apache Airflow, SQL, Django, Python, Shell, Back-end, Architecture...
Data2B
Python, React, SQL, Flask, Python, Shell, Back-end, SQLAlchemy, Linux, Bash...
Experience
Availability
Full-time
Preferred Environment
MacOS, SQL, Docker, Git, Python
The most amazing...
...project I've designed and implemented is a data architecture for a B2B marketplace startup with thousands of clients.
Work Experience
Data Engineer
2020 - 2022
Klaxoon
- Took technical leadership on legacy Airflow and Python codebase.
- Synchronized hundreds of thousands of clients between HubSpot and the data warehouse.
- Synchronized hundreds of thousands of clients between Totango and the data warehouse.
- Managed and developed data pipelines with Python for hundreds of thousands of clients spread around the world and dealt with hundreds of millions of records per table in our database.
- Took care of the exchanges with the stakeholders from other departments, such as marketing or customer success.
- Created multiple dashboards with Apache Superset for C-level management and product owners.
- Configured multiple Airflow production, pre-production, and development environments using Docker and Docker Compose.
- Configured multiple Apache Superset production and pre-production environments using Docker and Docker Compose.
- Configured GitLab CI/CD for Airflow to automatically deploy on production, pre-production, and demo environments.
- Reviewed SQL slow queries to optimize performance using fine-tuning and indexing.
Technologies: Python, SQL, Apache Airflow, Python, Shell, Back-end, Architecture, Pytest, Linux, Bash, CI/CD Pipelines, Data Engineering, ETL, Business Intelligence (BI), Data Pipelines, Docker, PostgreSQL, JSON, MySQL, Databases, APIs, Containerization
Back-end Software Engineer
2019 - 2020
Procsea
- Developed multiple new features using Django and Python.
- Created multiple new features successfully and efficiently using React.
- Designed and implemented a scaling data architecture with a data lake and data warehouse for a B2B marketplace with thousands of clients.
- Developed Python microservices to ingest events from RabbitMQ to store them in Google Cloud Storage.
- Configured GitLab CI/CD to deploy Airflow on Heroku.
- Developed data pipelines with Airflow to retrieve and send data from a product PostgreSQL database to Google Cloud Storage.
- Developed data pipelines with Airflow to retrieve data clean and transform them from Google Cloud Storage so that it can be used easily by Google BigQuery.
- Designed and implemented product analytics for the product team using Amplitude analytics.
Technologies: Python, Apache Airflow, SQL, Django, Python, Shell, Back-end, Architecture, Pytest, Linux, Bash, CI/CD Pipelines, Data Engineering, ETL, Data Pipelines, React, JavaScript, Docker, CSS, HTML, PostgreSQL, REST, JSON, Databases, APIs, Containerization
Software Engineer
2017 - 2019
Data2B
- Learned and implemented Python and Flask projects from scratch.
- Learned and implemented React projects from scratch.
- Implemented data scientist's and neural network models into Python microservices.
- Transformed raw data using Spark Scala to gain insight from bike stations' raw data.
- Transformed raw data using the Hive Query Language (HiveQL) for a French food company Dauna.
- Implemented data pipelines with Apache NiFi for a French food company Daucy.
- Taught data pipeline design and implementation with Apache NiFi.
Technologies: Python, React, SQL, Flask, Python, Shell, Back-end, SQLAlchemy, Linux, Bash, CI/CD Pipelines, Data Engineering, JavaScript, Docker, CSS, HTML, PostgreSQL, JSON Web Tokens (JWT), REST, Swagger, JSON, Databases, Containerization
Junior Software Engineer
2015 - 2017
Sopra Steria
- Fixed and improved a legacy code base with a few hundreds of thousands of lines of code related to commercials for a leading French TV channel, TF1, to adapt to the complexity of French law.
- Built a monitoring stack using Elasticsearch, Logstash, and Kibana for the professional branch of the leading French telecom, Orange, to detect issues in daily data pipelines.
- Implemented features with AngularJS for the leading French telecom, Orange.
Technologies: SQL, Back-end, Microsoft SQL Server
Experience
Designing a Data Lake for a Startup
As the only data engineer in a startup of 70 people, I designed and implemented a scaling data architecture for a B2B marketplace with thousands of clients. I used RabbitMQ, PostgreSQL, Python, Airflow, GCS, and BigQuery.
Education
2014 - 2016
Master's Degree in Computer Science
University of Rennes 1 - Rennes, France
Skills
Libraries/APIs
React, SQLAlchemy
Tools
Apache Airflow, Git, Pytest, Shell, RabbitMQ
Languages
Python, SQL, Python, JavaScript, Bash, CSS, HTML
Paradigms
ETL, Business Intelligence (BI), REST
Platforms
Docker, Google Cloud Platform (GCP), Linux
Storage
PostgreSQL, Data Pipelines, Databases, Google Cloud Storage, JSON, MySQL, Microsoft SQL Server
Frameworks
Django, Flask, JSON Web Tokens (JWT), Swagger
Other
Data Engineering, Back-end, Architecture, APIs, Containerization, Google BigQuery, CI/CD Pipelines
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