Jérémy Le Gall

Full stack data for +5 years now, I have been able to touch all branches of data aka data ops, data engineering, data visualization and data science. As well as the field of analytics engineering that I discovered at comet in 2019. My skills are thus very varied.

I started on Big Data stacks with Cloudera, Apache Spark and scikit-learn for the ML part. Then in 2019 / 2020 I discovered the modern data stack with tools like dbt, Airflow, Looker.

Finally, in the last 2 years, I have been very interested in serverless and event-driven data stacks. Thus I was able to put projects into production using tools like Terraform, GCP (BigQuery, Cloud run, workflows, functions, pub/sub, etc...)

In addition to all this technical part, I greatly appreciate bringing added value to the business and business users. Thus I have collaborated a lot with different businesses, such as the product / finance / executive part. This has resulted in providing insights via recommendation APIs / ML models or via pushed and personalized dashboards for the different businesses.

Thus it is just as important for me to set up robust, efficient technical solutions in production as to bring added value to businesses and end users for the business. This is how my profile translates as an engineer guy and an analytics guy.

To finish on a more personal note: I also take month-long trips to enjoy Asia (Japan, China) and South America (Peru, Bolivia). But I also do running, cycling, kayaking, kite-surfing.