Freelancer profile translated to English.

Description

With 10 years of experience in the field of development, I turned to the field of decision-making 7 years ago. As a Data architect, I have implemented a data strategy in several companies, allowing users to analyze, understand, and use their data for reporting purposes or export to other tools.

Stack / tech:

- dbt + packages development + trainer

- Cloud WH: Snowflake expert / Big Query

- Data Viz: Looker / HeadLess BI tools / PowerBI / Tableau / QuickSight / Alteryx / Google Data studio

- Data Governance, Data Access Control,

- Cloud: AWS / GCP / Azure / OVH

- Data integration: Fivetran / Airbytes / Stitch

- Data: Python, R, SPSS, SPARK, Amazon products, Kafka

- BDD: Redshift, SQL, Mysql, Oracle, Big Query

- Reporting: Qlikview, Qliksense, Tableau, Alteryx, Microsoft BI, Amazon QuickSight, Power BI, Google 360, Looker, Thoughspot

I have spoken at several Big Data Paris / dbt coalesce-meetup / Emarketing events / Qlik conferences.

During my career, I have learned project management, management, and implemented agility in teams.

For any questions, do not hesitate to contact me

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Bordeaux (up to 50km), Paris (up to km), Bordeaux (up to km), Nantes (up to km), Lyon (up to km)

InfiniteLambda
Data architect & manager
DIGITAL AND IT
June 2019 - Today (7 years)
- Support in setting up a modern data platform for more than 20 clients, in all fields
- Management of a team of 40 people
Snowflake dbt Big Query Looker Tableau software Power BI
Dozens
Lead dev
BANKING AND INSURANCE
June 2019 - June 2020 (1 year and 1 month)
Implementation of the Dozens data platform
- Social datas
- Zendesk
- Post Gres Database
Tools: Python, Snowflake, Looker, DBT, AWS
Data restitution under Looker
photobox
Data engineer
E-COMMERCE
September 2017 - June 2019 (1 year and 10 months)
Paris, France
- Collect, process and store all PhotoBox Group data (such as sales, web tracking, finance, customer service, NPS, data) through python ETLs in a AWS cloud environment (EMR, S3 and Redshift),
- Closely work with Qlikview reporting, Analytics and Data science teams to define they needs in term of data and deliver them on time,
- Build KPIs for reporting,
- Retrieve data from external partners through their APIs, SFTP, servers,
- Build real-time data pipeline to shoot real-time emails.
- Daily interact with most business services to evaluate/prioritize their needs and to answer questions related to data meaning or retrieval.
- Maintain the PostgreSQL database of Neolane Adobe Campaign (marketing automation tool).
python aws redshift etl