Junior Data Engineer · Analytics Engineer

📍 Béni Mellal, Morocco 🇲🇦 🎓 Data Analyst training @ CCFBS – Simplon Maghreb ✅ Open to internships & junior roles

role:        Junior Data Engineer / Analytics Engineer / Data Analyst
focus:       End-to-end data pipelines, modern data stack
workflow:    ingest → transform (Medallion) → model → visualize
core_stack:  [Python, SQL, Snowflake, Airflow, dbt, Power BI]
status:      In training @ Simplon (Jan 2026 – present)
looking_for: Junior Data Engineer / Analytics Engineer / Data Analyst role

Summary Junior Data Engineer & Analytics Engineer with hands-on experience designing end-to-end pipelines across a modern data stack — from ingestion to BI dashboards. Comfortable orchestrating ETL/ELT with Apache Airflow and dbt, dimensional modeling on Snowflake and PostgreSQL, and building Power BI reporting solutions. On one project, this cut reporting time by 80% while handling 10M+ rows/day. Looking for a Junior Data Engineer, Analytics Engineer or Data Analyst role to ship scalable, cloud-based data solutions.

Snowflake dbt Apache Airflow Power BI Docker

Problem → Multi-country real estate listings arriving as raw, unstructured data with no analytics-ready layer Solution → Designed a Medallion architecture (Bronze/Silver/Gold) on Snowflake as part of a 4-person team; orchestrated dbt models via Airflow; connected Power BI directly to the Gold-layer star schema (fact_listings + 3 dimensions) for simplified, interactive reporting Role → Data engineering + BI integration within a team of 4

Python Apache Airflow Snowflake MinIO Power BI Docker

Problem → Real-time crypto market data needed a scalable, structured pipeline for analysis Solution → Built an end-to-end pipeline ingesting live data from the CoinGecko API, structured through a Medallion architecture; automated ingestion/transformation/orchestration with Airflow, stored in MinIO, modeled in Snowflake; delivered Power BI dashboards for market KPIs Role → Solo pipeline design, orchestration & dashboarding

Python PostgreSQL SQLAlchemy Power BI

Problem → 1,508 real estate listings across 10 Moroccan cities needed cleaning and structure before any analysis was possible Solution → Built an analytical pipeline transforming raw listings into a structured dataset; handled missing values (city-level mode / grouped median) and outliers (IQR + business rules); modeled the data into a star schema on PostgreSQL; designed a 4-page interactive Power BI report covering pricing, segments and market performance Role → End-to-end: data quality, modeling, and BI reporting

Certifications

• Data Engineering Professional Certificate — Snowflake
• Power BI Essential Training — LinkedIn Learning
• SQL Essential Training — LinkedIn Learning
• Learning Docker — LinkedIn Learning, 2026

Education

• Data Analyst Training — CCFBS, Simplon Maghreb, Jan 2026 – present
• Baccalauréat, Economic Sciences — Lycée Technique El Khawarezmi, 2025

Languages Arabic (native) · French (intermediate) · English (intermediate)