Aug 2021 – Dec 2023 · 2 yrs 4 mos · Amsterdam · Hybrid

• I was responsible for developing, testing, and maintaining robust data pipelines and platforms. I designed solutions that ensured data quality, reliability, and scalability, and used pytest to write and run unit tests. My work involved extracting, transforming, and loading data from SAP systems into cloud-based data warehouses and lakes, enabling cross-team analytics. Additionally, I mentored team members and shared best practices to foster knowledge growth. I contributed significantly to the design and development of Heineken’s global data platform, empowering operational teams worldwide with scalable, high-quality data solutions.
• Key Contributions & Responsibilities:
• Developed and maintained end-to-end ETL/ELT pipelines using Databricks, Python, and Azure services.
• Ensured data quality, consistency, and reliability across multiple platforms.
• Extracted, transformed, and loaded SAP and other enterprise system data into cloud-based warehouses and lakes.
• Implemented unit testing and CI/CD practices using pytest to improve code quality and reliability.
• Collaborated with stakeholders to understand data requirements and translate them into actionable data solutions.
• Designed scalable data models and architecture for structured and semi-structured data.
• Monitored pipeline performance and optimized processes to improve efficiency and reduce costs.
• Provided mentorship and guidance to junior team members, promoting best practices in data engineering.
• Contributed to the development of a global data platform, supporting analytics and AI/ML initiatives across business units.

Aug 2019 – Jul 2021 · 1 yr 11 mos · Netherlands

• As a Data Architect and Lead Data Engineer, I have partnered with clients such as ABN AMRO, Nationale Nederlanden, and DVOM. I led the innovation group, evaluating emerging technologies and translating them into practical business use cases. Key projects I’ve designed and delivered include:
• Azure Data Mesh for DVOM: Enabled distributed data management and governance across multiple domains.
• CICD with Terraform for Nationale Nederlanden: Automated deployment and configuration of cloud resources for infrastructure as code.
• Data Modeling & ML Platform in Azure Databricks for ABN AMRO: Facilitated advanced analytics and model development on large-scale datasets.
• Internal Project IRIS for Capgemini: Led architecture design in AWS and implemented a use case with EMR and Lambda, showcasing cloud-based big data solutions.

Jan 2013 – Jul 2019 · 6 yrs 6 mos · Amsterdam Area, Netherlands

• I have extensive experience working with ABN AMRO on various projects from 2013 to 2019, including onsite assignments in Amsterdam since 2016. I successfully delivered solutions using both waterfall and agile SDLC methodologies and contributed to automation and innovation initiatives that generated measurable cost savings. My work has been recognized with multiple awards from both Infosys and the client.
• I participated in key data compliance programs, including MiFID and GDPR, and played a pivotal role in designing and implementing the future-state Archiving and Data/Record Management landscape capable of handling structured, semi-structured, and unstructured data.
• Key contributions:
• Expertise in Enterprise Content Management (ECM) and Data Engineering.
• Defined the future technology landscape for Data Records Management and Enterprise Search using open-source tools like Nuxeo, Cloudera Hadoop, and ElasticSearch.
• Designed and implemented new product features and interfaces.
• Managed deployment of components in production, including incident and problem management.
• Led geographically distributed scrum teams, ensuring effective collaboration.
• Successfully migrated and exported 73 million documents into the Big Data ecosystem.