David B.
Data Engineer @adorsys
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WORK HISTORY
Data Engineer @adorsys
Nuremberg, DE
As a Data Engineer, I design and maintain scalable data pipelines, integrate diverse data sources, and ensure high data quality and security. I collaborate closely with cross-functional teams including Data Scientists and Analysts, leveraging technologies like Python, Java, Kafka, Spark, and cloud platforms. My work also involves building and optimizing semantic graph models to enhance data relationships, enable advanced querying, and support knowledge-driven applications.
EDUCATION
The University of Waikato
Conjoint Bachelor of Management (1st Class Honours) and Computer Science, Economics and Machine Learning
ABOUT DAVID B.
I am a highly motivated and results-oriented Data Engineer with a passion for leveraging data and process optimization to drive significant business impact. My background in software and AI engineering, coupled with a strong foundation in economics and systems thinking, allows me to approach challenges with a unique blend of analytical rigor and technical expertise. I have my feet in both worlds of business and IT and bridge the gap between abstract business requirements and concrete technical specifications.I specialize in architecting robust data solutions and streamlining business processes to empower data-driven decision-making and achieve operational excellence. I excel at partnering with stakeholders across all levels to understand their strategic objectives and translate them into actionable technical solutions. My expertise spans the entire data lifecycle, from data architecture and engineering (using technologies like Azure Synapse, PySpark, Tabular Model, PowerBI, SAP, Salesforce, and Jedox) to data visualization and reporting. I am also proficient in process improvement methodology (BPMN).My academic background includes graduating as a top student in my university cohort, demonstrating my commitment to excellence and continuous learning. I am a confident communicator, capable of conveying complex technical concepts in a clear and engaging manner to both technical and non-technical audiences.I am eager to contribute my skills and experience to organizations seeking to unlock the full potential of their data and processes.Outside of work, I enjoy playing and listening to music, running and walking, and reading.
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