Olmo Landman

Experience

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  Expertisecentrum Forensische Psychiatrie

  Jan 2014 - Feb 2019

  Data Engineer
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  PostNL

  Feb 2019 - Feb 2022

  Data Engineer AWS - Product Owner

  • Work closely with business stakeholders, data scientists, analysts, and other end-users to understand their needs and requirements.• Prioritize features and functionalities based on business value and impact, creating a backlog of tasks for the development team.• Maintain and prioritize the product backlog, ensuring that it reflects the most valuable and important features to be developed.• Continuously refine and adjust priorities based on changing business needs, emerging technologies, and feedback from stakeholders.• Act as a bridge between business stakeholders and the development team, ensuring clear communication and understanding of requirements.• Collaborate with cross-functional teams, including data engineers, architects, and analysts, to deliver a cohesive and effective data solution.• Define user stories, detailed requirements, and acceptance criteria that guide the development team in building data solutions.• Ensure that user stories are well-defined, achievable, and aligned with the overall project goals.• Review and validate deliverables against acceptance criteria to ensure they meet the specified requirements.• Accept or reject completed work based on the predefined criteria and user expectations.• Identify and mitigate risks associated with the development process, data quality, or other factors that may impact the success of the data engineering project.• Gather feedback from stakeholders and end-users and incorporate it into the product development process.• Iterate on features based on feedback and changing business needs.• Contribute to the development and refinement of the overall product vision and strategy, aligning it with the organization's objectives.• Playing a pivotal role in translating business needs into actionable tasks for the development team and maintaining a clear vision for the product. Show less

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  LeasePlan

  Feb 2022 - now

  Data Engineering Delivery Manager

  - Leading an internationally distributed data engineering team of consultants, architects and developers in the Data Platform Team. Size of the team varied from 12 to 16 FTEs.- Building a robust, reliable, scalable and modern platform to enable all the stakeholders and leaders to build and evolve the business as a data-driven company.- Leading migration of core data platform to AWS ( Snowflake / Airflow / Python / Kafka / Spark / PowerBI / DBT/ MySQL (CDC) / Kubernetes ) - Established and led a dynamic engineering team with a strategic focus on creating data marts and optimizing processes, aimed to elevate analytics capabilities, reporting accuracy, data insights, and predictive machine learning models. - Providing Data Solutions and shaping the future data platform of the organization- Active involvement and ownership of Requirements and Solution Design Phase of delivery engagements, identifying gaps and recommending development/process changes, system configuration design, creation of test scenarios, migration plans - Work with SME groups across domains/products to provide a complete end-to-end solution, including estimates and definitions of critical factors, assumptions, and risks - Sharing best practices with team members to enhance the quality and efficiency of the platform and contribute to the knowledge base. - Hiring Manager for the teamOrganize individual and team meetings, coaching, education and training, increasing the overall level of professionalism. - Plan and execute performance interviews and assessments of team members; - Support business opportunities, contribute to and maintain the overall quality of deliverables - Coaching & Mentoring junior talent- Use Agile methodologies (Sprint, Scrum) to streamline project management and delivery process Show less