Freelancer profile translated to English.
Back to original languageAbout Firas
Are you looking for a Senior Data Engineer who doesn't just build pipelines, but ensures that the business actually uses them?
I am a Senior Data Engineer specializing in the modern data stack (Databricks, Snowflake, PySpark). I bring over 7 years of experience gained in Canada and Europe. I am a graduate engineer from École Centrale de Nantes.
I have experience in the energy, finance, and restaurant sectors. I support large institutions in industrializing their data pipelines and transitioning to Lakehouse architectures.
I can assist you with the following:
- Designing high-performance Lakehouse architectures (Medallion pattern) while respecting Data Modeling best practices
- Migrating and optimizing ETL/ELT pipelines to Databricks or Snowflake for massive data volumes (SQL, PySpark)
- Automating workflows with Databricks Asset Bundles (DABs) and dbt
- Implementing engineering best practices such as unit tests, integration tests, CI/CD, and monitoring
- Building BI foundations for optimal dashboarding
Certified Databricks, Snowflake, Azure, and Power BI.
Tech stack: Python, SQL, PySpark, Databricks, Snowflake, Azure, GitHub, Azure DevOps, Power BI, Microsoft SQL Server, Matlab.
Over 3 years of experience with the Agile/Scrum methodology.
My priority is business impact, not technical complexity. I avoid over-engineering. I take the time to understand your business context and constraints before writing a single line of code. I ensure that your pipelines will be easy for your team to maintain after my departure. To guarantee this, I provide exhaustive technical documentation and a structured skills transfer plan.
Do you have a data project? Do not hesitate to contact me at:
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Arabic
Conversational
Can work on-site
Paris (up to 50km)
Experience
- DesjardinsSenior Data EngineerBANKING AND INSURANCEFebruary 2026 - Today (4 months)Montreal, QC, CanadaQuebec-based bank with over 55,000 employees and 10 million clients.Consulted with the Desjardins Security Office as a Databricks expert and advisor (Data Mesh Architecture). I contributed to two initiatives:- Design and implementation of an automated file remediation framework in Databricks. Code deployed company-wide (over 50,000 employees). Management of sensitive file statuses and targeted automatic email notifications.Impact: File remediation time reduced by over 90%.- Led the migration of fraud analytics use cases from IBM CP4D to Databricks (+80 business use cases). Integrated PII data management best practices. Trained over 30 developers on Databricks development and design best practices.Impacts: Centralization of Data and AI needs, democratization of the Data Mesh architecture (4 Data Products integrated), reduction in processing times by over 50%, and reduced risk of exfiltration of highly confidential data.Stack/concepts: Azure Databricks, SQL, Python, PySpark, GitHub, Azure DevOps, Agile, Data Mesh
- La CaisseSenior Data EngineerPRIVATE EQUITYApril 2025 - February 2026 (10 months)Montreal, QC, CanadaSecond largest pension fund and institutional investor in Canada, managing over CAD 500 billion in assets globally (Equities, Fixed Income, Real Estate, Private Equity, Infrastructure...).Consulted with the Data department (team of approximately 100 people). Supported the Portfolio Information and Fixed Income Analytics teams in delivering critical data products.Mission 1: Transactional Exposure POC (Portfolio Information Team)- Led a POC to transition from "position" reporting to "transactional" level for CAD 500 billion in assets- Designed Snowflake queries by reverse-engineering complex business rules (+15 input tables)- Processed hundreds of millions of rows using advanced SQL to feed Power BI dashboardsImpacts: Enables the punctual detection of anomalies worth several million dollars. Also allows for granular analysis of financial trends across the company.Mission 2: Modernization of the Quant Data Platform (Fixed Income Analytics Team)- Analyzed business needs and defined the scope for over 400 tables and views to be migrated (~ 5 TB)- Migrated legacy environments (Matlab / MS SQL) to a Lakehouse architecture on Databricks- Automated deployments (CI/CD) using Databricks Asset Bundles (DABs) and YAML files- Designed Star/Snowflake schemas for complex financial instruments (derivatives)- Acted as Technical Advisor to define PySpark and Delta Lake best practicesImpacts: 70% acceleration in processing. Improved data accessibility for over 10 quantitative analysts and over 20 traders.Stack: Snowflake, Databricks, SQL, Python, Airflow, CI/CD, Azure DevOps, Power BI, Microsoft SQL Server, Matlab
- The University of Texas at AustinData TrainerEDUCATION AND E-LEARNINGSeptember 2024 - January 2026 (1 year and 4 months)Ranked 7th best public university in the US in 2026.Part-time Teaching Assistant and Mentor (4 hours per week) for the 16-week online program Data Analytics Foundations (SQL, Python, Power BI).I taught data fundamentals to hundreds of students.
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Education
- Engineering DegreeEcole centrale de Nantes2018Grande École d'Ingénieur dans le top 10 français. Spécialisation en Énergie.
- Master's Degree in EnergyPolytechnique Montréal2018Grade: GPA : 3.7/4 Double Diplôme avec l'École Centrale de Nantes Majeure : Energie - Performance, conversion et transport de l'énergie - Énergies renouvelables - Stockage de l'énergie - Modèles d'optimisation dans le secteur énergétique - Processus stochastiques pour la production et la gestion de la charge Mineure : Data Science - Intelligence artificielle, Machine Learning - Méthodes de prévision
Certifications
- Databricks Data Engineer AssociateDatabricks2024
- Microsoft Certified: Power BI Data Analyst AssociateMicrosoft2023