Uzinakod

All the below, plus:
‣ Lead team of talented data engineers through client’s project and many internal initiatives
‣ Designed and piloted AI/Data solution architectures by demonstrating clear business value.
‣ Worked with sales teams to reduce proof-of-concept (PoC) delivery time and accelerating the sales cycle.
‣ Collaborated with sales teams to translate strategic client requirements into technical solutions on targeted RFPs (Requests for Proposals).

Team Lead & BI Architect - Data Engineering

‣ Participate in data extraction, cleansing, transformation and ingestion (ETL/ELT).
‣ Handle data (pre-processing, exploratory analysis, identification of correlations), model and develop databases required for reporting production (OLAP).
‣ Document and monitor data inventory. Ensure data quality from the data warehouse through to the visualization phase.
‣ Design dashboards and ensure their improvement and correction as required.

Data Engineer

APRIL Canada Insurance

‣ Responsible for periodic budget preparation ($70M+ annual) in collaboration with the deputy CFO and the various niche managers.
‣ Responsible for performance control by periodically delivering financial analyses that have helped improve the profitability (+10% on average) of various niches (approx. $1.1M total gross margin).
‣ Responsible for the creation and maintenance of various data analysis tools such as pipelines and data warehouses with ultimate visualization reports.
‣ Responsible for developing management dashboards and transitioning ETL processes from Excel and physical media to SQL databases, reducing Power BI model update times by over 80%.
‣ Analyze, contribute ideas and participate in the diagnosis of domain-related issues and provide technical solutions at the data exploitation level through global knowledge of the business domain.
‣ Deploy tools, methods and work processes by intervening at all levels of the data life cycle within the organization: sources (Excel, SI, SQL), cleansing (Excel, Python, SSMS), warehousing (SSMS, Excel), analysis (Python, Excel) and visualization (Power BI).

Business Intelligence & Revenue Management Analyst

Business Intelligence Analyst

FMT Performance

‣ Develop, master and optimize the various data pipelines through well-defined ETL processes making use of the cloud (BigQuery).
‣ Work in collaboration with senior management and in concert with the development team to produce management dashboards to effectively monitor all activities.
‣ Evaluate and propose different tools and work methodologies related to data.
‣ Conduct ad-hoc analyses to meet the needs of stakeholders (internal and external) during sales events in particular.
‣ Tech Stack: Python, MySQL, Google Data Studio, Power BI, Google Big Query, GCP, Google Analytics, SI, Facebook Ads.

BI Analyst and Developer (Google Cloud Platform)

Conseiller prise de rendez-vous

HEC Montreal

Assitant - Management programming principles

Assitant - Integration - Project HEC Challenge

Audiovisual technician

Business Intelligence Consultant

Migration de données budgétaires 
Développement du PROGEBU (Progiciel de Gestion Budgétaire)

Consultant - Mosaic HEC Montréal

ASECNA

Internship

Passionate about data and new technologies, I fully invest myself in all the projects entrusted to me. 💻

Always looking for new challenges, I approach all problems from different angles in order to always propose the best possible solution. 💡

My favorite tools and technologies are: SQL, Power BI, Python, Azure Synapse, the cloud, Excel too from time to time. 😉

Finally, in my spare time I'm :
 • an aviation enthusiast ✈
 • passionate about motor sports🏎 
 • keen about geopolitics 🌎

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