Freelancer profile translated to English.
Back to original languageAbout Baran
Expert Data Engineer | Databricks · Azure · Microsoft Fabric · PySpark · ETL/ELT
Are you looking for an experienced Data Engineer to design, industrialize, and optimize your cloud data platforms on Azure, Microsoft Fabric, or AWS? I can assist you from requirement definition to production deployment.
With over 6 years of experience, I work on Big Data projects for startups, SMEs, and large corporations, with strong expertise in Databricks, PySpark, and Lakehouse architectures. My approach is focused on performance, scalability, and business value.
My expertise
Cloud Data Architecture: Data Lake, Lakehouse, Data Warehouse, Bronze/Silver/Gold models, governance, and security (RBAC, IAM)
Databricks & Microsoft Fabric: autoscaling clusters, jobs, workflows, collaborative notebooks, OneLake/Data Factory integration
ETL/ELT & PySpark: complex transformations, aggregations, data quality, Spark optimization (partitioning, caching, tuning)
Industrialization & DataOps: CI/CD with Azure DevOps or GitHub Actions, automated deployment of notebooks and Python libraries
Production Deployment & Monitoring: Azure Monitor, Datadog, alerting, continuous performance and cost optimization
Methodology
Needs analysis and technical scoping
Design and rapid prototyping
Development, production deployment, and monitoring
Accustomed to cloud environments, large-scale data, and strong business requirements, I integrate quickly into your teams and secure your data projects.
👉 Available for freelance missions, team augmentation, or data transformation projects.
Contact me to discuss your needs and transform your data into a performance lever.
French
Native or bilingual
English
Fluent
Turkish
Native or bilingual
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Lille (up to 50km), Toulouse (up to 50km), Bordeaux (up to 50km)
Experience
- AXAData Engineer – Insurance SectorBANKING AND INSURANCESeptember 2024 - Today (1 year and 9 months)Nanterre, FranceAs a Data Engineer at AXA, I led the redesign and optimization of Big Data projects to meet performance and scalability challenges.Key Achievements:✓ Undertook and completely redesigned a PySpark Big Data project on Azure and Databricks, integrating an LLM AI (OpenAI) into a data enrichment workflow.✓ Performance Optimization: Rewrote pipelines, doubling processing throughput while reducing infrastructure costs (dbu/h).✓ Implemented automated CI/CD pipelines (Git, Azure DevOps), orchestrated with Databricks Jobs, ensuring reliable and interruption-free deployment.✓ Expanded data scope: Ingested 4 new sources (>1M contracts), validated, enriched, and normalized them using PySpark.Technical Environment:Azure Cloud, Databricks, Unity Catalog, Delta Lake, PySpark, Python, OpenAI API, Azure DevOps, Git, CI/CD.
- Préfecture de ParisData Engineer – Cybersecurity SectorPUBLIC SECTORSeptember 2019 - September 2024 (5 years)Paris, FranceResponsible for the design and governance of a secure data platform for processing sensitive data.Key Achievements:✓ Developed robust ETL pipelines with PySpark: enrichment, cleaning, creating links between heterogeneous datasets, quality >99%.✓ Optimized Spark workflows: tuning, partitioning, reducing processing time by 35%.✓ Automated processing with Apache Airflow: defined modular DAGs, centralized monitoring, reliable 24/7 execution.✓ Integrated and visualized data in Elasticsearch and Kibana: real-time dashboards for anomaly detection and processed data exploitation.✓ Migrated non-sensitive use cases to Azure and Databricks cloud as a proof of concept.Technical Environment:PySpark, Python, Rust, Docker, Kubernetes, Airflow, Elasticsearch, Kibana, Git, Azure, Databricks.
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Education
- Master's degree in Computer EngineeringUniversité Gustave Eiffel2019Master 2 Ingénierie informatique
Certifications
- IBM Data Engineering Professional CertificationCoursera2025
- Microsoft Certified: Fabric Data Engineer AssociateMicrosoft