Mohamed IMLI

Senior Data Engineer Consultant with 10+ years of experience in data engineering, cloud solutions, and distributed systems, with specialized knowledge in financial markets. I have successfully delivered complex data-driven solutions for leading financial institutions such as Société Générale and BNP Paribas. My expertise covers end-to-end data pipeline creation, real-time data processing, and infrastructure automation within high-volume environments.

My deep understanding of market finance enables me to design and implement data architectures that cater to the specific needs of trading platforms, market data processing, and risk management systems. I have extensive experience working on pricing engines, trade auditing, and integrating financial data workflows with cutting-edge cloud and data technologies.

Key Strengths:

Proficient in Java, Python, and C# .Net Core for developing robust applications that handle complex financial and market data.

Skilled in Spring Boot, Spring Cloud, and microservices architecture for building flexible, scalable systems.
Experience with ETL tools, machine learning, and data visualization tools such as QlikView and Tableau.

Expertise in distributed systems such as Hadoop, Kafka, ElasticSearch, and Apache NiFi, ensuring efficient data ingestion and real-time analytics.
Strong knowledge of cloud platforms (AWS, IBM Cloud) and DevOps practices, enabling seamless migration and optimization of IT infrastructures.

Financial Markets Expertise: Strong background in financial derivatives, forex trading, and market data processing, gained through working with financial institutions and specialized training.

I thrive in agile environments and am committed to delivering data solutions that meet the evolving needs of the financial industry. My blend of technical skills and financial market insights allows me to contribute to the creation of innovative systems that drive both business growth and operational efficiency.