Freelancer profile translated to English.

Description

CEO of Bamana Solutions, I am a SaaS Data Engineer and Architect with 8 years of experience on critical projects in FinTech, e-commerce, insurance, and business software publishing.

Versatile and rigorous, I cover the entire lifecycle of a data or SaaS project: from gathering business needs to production, including architecture design, development, testing, and technical documentation.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Marseille (up to 50km), Nice (up to 50km), Lille (up to 50km), Lyon (up to 50km)

BAMANA SOLUTIONS
CEO / Solution Architect / Data Engineer
DIGITAL AND IT
January 2023 - Today (3 years and 7 months)
Paris, France
🏢 Data Engineering · B2B SaaS · Cloud · AI · Automation · Paris

Bamana Solutions is an IT consulting company specializing in data engineering, B2B SaaS platform development, and cloud infrastructure. We support startups, mid-sized companies, and large corporations from needs definition to production.

▸ Data Engineering & Pipelines
Design and deployment of end-to-end GCP/AWS data platforms. Robust ETL/ELT pipelines · BigQuery · DBT · Airflow · Kafka. Data Quality · Datamart design · Data Lineage · Advanced SQL. Multi-source ingestion: API, FTP, scraping, structured feeds.

▸ B2B SaaS Development
Auth · Stripe · Documented REST API · Admin back-office · CI/CD. Stack: Python/Django · Ruby on Rails · React.js · PostgreSQL. From mockup to production — a single point of contact.

▸ DataViz & Cartographic Intelligence
Interactive dashboards: Looker Studio · Power BI · Tableau. Advanced cartography: MapLibre GL · D3.js · PostGIS. Geospatial data and natural risk visualization.

▸ AI & Automation
LLM Integration · RAG · NLP · Sentiment Analysis. Official document OCR · Regulatory PDF pre-filling. Automation of high-volume business processes. Document intelligence · Automated decision-making pipelines.

▸ Cloud Infrastructure & DevOps
GCP · AWS · Azure · Terraform · Ansible · Docker. CI/CD GitHub Actions / GitLab CI · Monitoring · FinOps. Scalable architecture from the design phase · Auto-scaling. Application security: IAM · GDPR · Encryption

Team: 4 to 6 specialized engineers
(Data Engineers · Software Engineers · PO · UX/UI)

Certifications: GCP Professional Data Engineer · Scrum Master

Full Stack: GCP · AWS · Azure · BigQuery · DBT · Airflow ·
Kafka · Python · Django · Flask · Ruby on Rails · React.js · Vue.js ·
PostgreSQL · Redis · Elasticsearch · Docker · Kubernetes · Terraform ·
Ansible · MapLibre GL · D3.js · Looker Studio · Power BI · Tableau ·
OCR · LLM · RAG · NLP · Stripe · CI/CD · FinOps · GDPR
PostgreSQL Google cloud Python Artificial intelligence AI Chatbot
SNCF RÉSEAU
Data Engineer - Natural Risks
TRANSPORTATION
January 2026 - Today (7 months)
Paris, France
🗺️ Vue.js · MapLibre GL · Python · PostGIS · Geospatial · GIS

Sector: Critical Infrastructure / National Transport (Confidential)

▸ High-performance vector map
GPU-accelerated MapLibre GL base map. Fluid multi-scale navigation · Performance maintained over a large national geographical area.

▸ Overlaid flood layers
T10, T30, T100, T500 hydrological scenarios. Each layer styled by risk intensity. Independent real-time activation/deactivation.

▸ Geolocated alert system
Dynamic alerts positioned on the map. Hierarchical levels: critical, monitoring, nominal. Automatic calculation of intersections between network and flooded areas.

▸ Vue.js decision-making interface
Layer control panel · Filters by period and zone. Detailed information per zone on click · PDF report export. Designed for non-technical operational profiles.

▸ Python API & geospatial data
Ingestion and normalization of hydrological data. PostGIS indexing · Geospatial optimized endpoints. Complete logging for decision traceability.

▸ Needs gathering & training
Field workshops with operational teams. Operational documentation · End-user training.

Stack: Vue.js · MapLibre GL · Python · PostgreSQL · PostGIS ·
GeoJSON · REST API · Docker · CI/CD

Impact:
→ Operational decision-making in minutes vs. several hours
→ Interface adopted without extensive training by teams
→ Scalable architecture extendable to other risk typologies
Python/Django Docker maplibre Leaflet Cursor
Diot Siaci
Data Engineer & SaaS Developer - Risk Intelligence
BANKING AND INSURANCE
April 2025 - September 2025 (5 months)
Paris, France
📊 B2B SaaS · ETL · MapLibre GL · Django · PostGIS · Risk Data

Sector: Insurance & Reinsurance

▸ Multi-source ETL Pipeline
Ingestion of risk data from heterogeneous private providers (JSON, CSV, REST API formats). Data cleaning: deduplication, outliers, schema validation. Quality scoring before injection · Complete logging.

▸ Risk scoring engine
Calculation of insurance risk indices by geographical region. Multi-level aggregation: country, region, zone. Parameterizable weighting by risk typologies.

▸ Interactive world map — MapLibre GL
Visualization of risk levels on a GPU-accelerated vector base map. Activatable thematic layers · Heatmaps · Data drill-down. Dynamic filters: risk type, period, zone, threshold.

▸ Django REST API
Optimized endpoints for geospatial queries · Redis Cache. OpenAPI/Swagger documentation · JWT · Rate limiting.

▸ React decision-making interface
Synthetic dashboards for risk analysts. Report exports · Saved views · Configuration sharing. Management of roles and permissions by geographical scope.

Stack: Python · Django · React · MapLibre GL · PostgreSQL · PostGIS ·
Redis · Docker · REST API · Custom ETL · GeoJSON · CI/CD

Impact:
→ Analysis time divided by 10 for business teams
→ Single source of truth on risk data
→ Faster and documented underwriting decisions
Django Python/Django REST API SQL