Long Do cao

🧑‍💼 Role: - Lead and mentor a data engineering team, fostering growth, technical excellence, and collaboration. - Drive innovation through AI tooling, leading initiatives to evaluate and integrate internal productivity tools such as Dust, Cursor, and Claude Code to enhance engineering efficiency and knowledge sharing. - Turn C-level strategic vision into actionable data initiatives, ensuring alignment between business goals and technical delivery (from batch to event-driven architecture) - Oversee the operation and continuous evolution of a production-grade data platform, with a strong focus on reliability, scalability, FinOps, and observability. 🌟 Key Impact Highlights: - Automated issue resolution: Implemented Claude Code to streamline run-time incident handling, reducing resolution time by 30%. - Improved engineering metrics: Introduced DORA metrics for the data team and identified a 40% false positive change fail rate, enabling more accurate performance tracking and process improvements.

🧑‍💼 Role:: - Define the strategy, governance, and roadmap for the Data & AI organization, ensuring alignment with enterprise objectives and architecture principles. - Design and oversee an enterprise-grade data platform, integrated across multiple departments and validated by architecture and security design authorities. - Ensure end-to-end data security and regulatory compliance, embedding privacy, access control, and validation mechanisms throughout the data lifecycle. - Mentor and develop junior talents, fostering a strong data engineering community and culture of technical excellence.

🧑‍💼 Role: - Define strategy and roadmap of the data team - Design and implement a big data platform for clients and internal collaborators - Lead a team of DevOps, webapp and IoT developers - Deploy a self-service dashboarding solution for sales and customer service 🌟 Key Impact Highlights: - Optimized data usage to improve operations: Leveraged analytics to empower customer care teams, reducing issue resolution time by 80%. - Proactive operational insights: Built alerts to anticipate maintenance needs for reusable-item collection unit, preventing downtime by 40%

- Data architecture - Kubernetes - Python advanced - End-to-end AI product project

Clients: - design and deploy an ingestion pipeline with datalake and datawarehouse with massive datasets - Azure expertise to reduce cost of data lake storage and analytics - tech lead to build an ETL pipeline on Azure serverless - time series prediction of drug sales - locate a face in real time in a 3D environment for a mobile app - optimize graph traversal and deploy ELK stack for searching a GIS database at a very large scale (~100M nodes and edges) - deploy Hadoop/Hive/Spark algorithms for sales clients : Orange, AXA, Naval, Natixis, CentraleSupelec, Euler Hermes

Le Sky Scanner de l'immobilier

Develop deep learning algorithms to assist medical professionals Lead research project between data scientists and private industry Image classification of breast cancer