Emre Talay

Constructed the design and delivery of business scenarios within a large scale Big Data environment, covering the full lifecycle from development and integration testing to production deployment. Ensured functional validation in close collaboration with Business Analysts, aligning technical implementations with business requirements. Operated in a highly transversal context, coordinating with multiple squads across France on key banking topics such as transfers, direct debits, and retrocessions. Led the integration of new scenarios on an on-premises Big Data platform, handling very large data volumes (up to 12 billion records per run). Oversaw deployment and release activities, while facilitating clear communication with non-technical stakeholders to ensure effective tracking of technical topics, task planning, and overall delivery alignment.

Managed and contributed to multiple end-to-end data and AI projects across diverse industries including automotive (Nissan, Renault), consumer goods (Nestlé), public transport, and luxury alcohol. Delivered scalable solutions using modern cloud platforms (Azure, GCP,Amazon), tools as (Databricks, Snowflake) and many other data engineering tools, with strong focus on au tomation, performance, and business impact.

Led the real-time data processing efforts for television data of 7 million users, ensuring data accuracy and availability, developed and delivered KPIs to the marketing team, enabling data-driven business decisions and improved client propositions, designed and implemented client-facing features within the Or ange TV project interface, enhancing user engagement and revenue oppor tunities, successfully integrated data from multiple sources to create a unified and comprehensive dataset, collaborated with cross-functional teams to align data analysis efforts with business goals, resulting in increased client satis faction and revenue growth. Stack Technical:Apache Hadoop, Java, Spark, Pig,MapReduce, Hive, Kafka, Cron, Linux Shel