AI & AutomationInternship · 2026D&A Studio — Data & AI Platform (PaaS)
A platform that brings geospatial tracking data, an AI assistant on company documents, anomaly detection and BI dashboards into one place.
Spring BootJava 21ReactPostgreSQL+8
Services
Data Engineering & ETL Pipelines
ETL/ELT pipelines, data warehouses and data-quality checks in Python and SQL, so your reports always run on clean, up-to-date data.
In short
I design and build data pipelines that collect data from your files, APIs and databases, clean and model it, and load it into a warehouse ready for reporting. Pipelines are written in Python and SQL, scheduled, monitored, and include data-quality checks so problems are caught before they reach your dashboards.
Sounds familiar?
- Data preparation is manual, slow and error-prone
- Reports break when a source file changes
- No single, trusted place for analytics data
What you get
- Extraction from files, APIs and databases
- Cleaning, transformation and data model (warehouse)
- Scheduling and monitoring, with data-quality checks and alerts
- Documentation of sources, transformations and tables
How we work
1. Audit
Sources, volumes, refresh needs and current issues.
2. Design
Target model, pipeline steps and checks.
3. Build
Python/SQL pipelines, tests and scheduling.
4. Run
Monitoring, alerts and handover.
Pricing
From 2,500 MAD for a first automated pipeline
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Mainly Python (pandas, PySpark when volumes require it), SQL, Airflow or simple schedulers, and PostgreSQL, MySQL or SQL Server as warehouse. I pick the lightest stack that fits your volumes.
Let's build something great together
Whether you need a full-stack web app, a data dashboard, or a cloud-native deployment — I'd love to hear about it.