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Chapter Lead – Data Engineering & Analytics @ Deutsche Bank | GCP | BigQuery | Cloud Data Solutions
I’m a Senior Chapter Lead and Data Engineer passionate about building scalable data solutions and helping teams deliver real business impact. At Deutsche Bank, I lead a Data & Analytics Chapter spanning data engineering, business intelligence, machine learning, and database development. I focus on combining technical expertise with people leadership, supporting teams to grow, work efficiently, and continuously raise their engineering standards. I have strong experience with relational and cloud databases (e.g. DB2, SQL Server, Oracle or BigQuery) and I specialize in building reliable data pipelines, optimizing performance, and enabling data-driven decision-making. I’m also experienced in end-to-end software delivery, from solution design to automated deployment. I’m motivated by helping engineers reach their potential and fostering a collaborative, high-performing culture. My goal is to continue growing as a Data & Analytics leader, shaping modern data ecosystems that turn complex data into clear business value.
University POLITEHNICA of Bucharest
Bachelor of Computer Science Engineer, Faculty of Automatics and Computer Science
January 1, 2004 – January 1, 2009
Deutsche Bank
Lead Data Engineer
October 1, 2022 – Present
Bucharest Metropolitan Area · Hybrid
FintechOS
Technical Product Owner
June 1, 2021 – October 1, 2022
Bucharest, Romania
Raiffeisen Bank Romania
Team Leader CRM & Core Banking Applications Development
January 1, 2018 – June 1, 2021
Raiffeisen Bank Romania
Team Leader Back End (IBM i) Applications Development
January 1, 2016 – January 1, 2018
Raiffeisen Bank Romania
Application Designer
January 1, 2013 – January 1, 2016
IBM
Application Developer
January 1, 2011 – January 1, 2013
Bucharest Metropolitan Area
Cultural Fit Analysis
The candidate has a long tenure in banking (Raiffeisen Bank, Deutsche Bank) and experience in a fintech startup (FintechOS), demonstrating adaptability across different organizational cultures. Their leadership roles involving team growth and technical standards suggest a proactive and collaborative approach. The breadth of experience from application development to data engineering leadership indicates a continuous learning mindset, which is positive for cultural fit. However, the lack of diverse project types outside of finance might limit exposure to other industry data challenges.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Engineer and various Team Leader roles indicates strong leadership, mentoring, and stakeholder management skills. Their involvement in defining coding standards and managing project timelines suggests a focus on operational excellence and process improvement. The description of coordinating global teams and resolving client issues points to strong collaboration and problem-solving abilities.