Freelancer profile translated to English.
Back to original languageAbout Tarik
Do you have data but little time to exploit it?I help you turn it into concrete decisions. As a Data & BI Consultant (Azure, Power BI, Python, SQL, PySpark), I work to centralize your sources, make your indicators reliable, and set up clear dashboards for your teams (Finance, Management, HR, Ops, IT).
Specifically, I can assist you with:
- Setting up a data architecture (Data Lake / Databricks / Data Warehouse / Data Marts) ready for analytics.
- Developing robust, documented, and monitored ingestion and transformation pipelines (Python, PySpark, SQL).
- Creating optimized data models and KPIs shared by all.
- Designing ergonomic, secure (RLS), and automated Power BI and Tableau Software reports and dashboards.
- Continuously improving data quality (checks, anomaly detection, alerts) and implementing simple, pragmatic governance.
My added value: I speak both the language of business and technology. I translate your needs into concrete, deliverable, and sustainable data solutions: operational architectures, production-ready pipelines, documented data models, data dictionaries, turnkey Power BI reports, and actionable recommendations for your decision-makers.
French
Native or bilingual
Italian
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Trimane Data IntelligenceConsultant Data & BIJanuary 2024 - July 2025 (1 year and 6 months)Puteaux, France
- Gather and formalize business and user needs (KPIs, activity monitoring, use cases), then translate them into actionable data requirements in an Agile context.
- Map sources (APIs, SQL/NoSQL databases, files), identify key data, and design appropriate data modeling (SQL and NoSQL) to ensure consistency, traceability, and analytical performance.
- Design and develop a robust, scalable, and secure Azure data architecture (Data Lake / Lakehouse / Data Warehouse), leveraging cloud standards and industrialization best practices.
- Develop ingestion and transformation pipelines in Python and PySpark, orchestrating flows through Azure services to ensure reliable and reproducible processing.
- Implement distributed processing and Big Data optimizations on Azure Databricks (Spark jobs, notebooks, Delta Lake), with a focus on performance and costs.
- Deploy serverless components with Azure Functions to automate triggers, ensure reliability of event-driven processes, and expose lightweight technical services if required.
- Ensure production deployment, monitoring, and supervision of pipelines and architecture (logs, alerting, observability), integrating CI/CD and Git practices.
- Guarantee the evolutive maintenance of the data platform: incident resolution, refactoring, scaling, adding new sources, and continuous improvement of processes.
- Implement and enforce data governance, quality, and security best practices (controls, Azure access management, Key Vault, compliance).
- Collaborate closely with business, data, and IT teams (including Finance) to prioritize developments, secure deliveries, and maximize the value of the data produced.
- Grand Paris SudData AnalystNovember 2021 - November 2023 (2 years)Lieusaint, France
- Extraction, collection, cleaning, and maintenance of data from various systems and sources.
- Real-time data retrieval (SQL) with the IT department of Grand Paris Sud.
- Development of internal data ingestion and transformation pipelines and libraries (Python, PySpark).
- Design and optimization of data models (SQL schemas / Data Marts) to ensure reliable analysis and faster response times.
- Implementation of data quality controls (tests, anomaly detection, consistency rules) and automation of alerts.
- Creation, maintenance, and distribution of Power BI dashboards for various business departments.
- Setting up Power BI reports: distribution, Row Level Security, Power BI Premium, Power BI Gateway.
- Prototyping on new data sources and design of automated Power BI dashboards.
- Definition of KPIs with business stakeholders, facilitation of scoping workshops, and formalization of functional requirements.
- Production of recurring reporting, trend analysis, and operational recommendations to decision-makers.
- Writing and maintenance of technical and functional documentation (data dictionary, operational procedures, user guides).
- Data mapping via QGIS and Power BI for territorial and geospatial analysis.
- Université Paris-SaclayData ScientistApril 2021 - October 2021 (6 months)Essonne, France
- Acquisition of banking data via Kaggle.
- Data cleaning and preparation in Python.
- Transformation and enrichment of raw data.
- Performing exploratory data analysis (EDA) and visualizations to identify trends, correlations, and explanatory variables.
- Development of machine learning models for credit risk assessment.
- Model optimization (feature engineering, hyperparameter tuning, cross-validation) to improve robustness and generalization.
- Performance evaluation (accuracy, precision).
- Development of a web interface for model deployment.
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Education
- Master of Big Data & AIEcole IPSSI2021Master Big Data & IA
- Master 1 Mathematics and InteractionsUniversité Paris-Saclay2019Master 1 Mathématiques et Informatiques