Zürich Metropolitan Area
As a consultant passionate about transforming data into a strategic business asset, I am increasingly gravitating towards Artificial Intelligence (AI). In my current role, I excel at data engineering, ensuring data integrity and quality to meet targeted business objectives. My work is focused on the intersection of cutting-edge technology and business innovation. I am eager to incorporate my expanding AI interests into my professional skill set. It will be exciting to combine these evolving interests with my experience in data engineering to offer new perspectives on data-driven business challenges.
• Developed and optimized data pipelines using Spark (Python, Scala), SQL, and Bash, improving data processing efficiency. • Managed and optimized a Hadoop platform, enhancing ETL workflows and ensuring performance improvements. • Supported user migration from Hadoop to Azure and Snowflake, transitioning from a Data Lake to a Data Product approach. • Worked collaboratively with cross-functional agile teams (SAFe), including Operations, DevOps, Data Engineering, and BI Analytics, to design and implement data products utilizing Spark SQL, dbt, Airflow, and NiFi on AWS-based data platforms.
• Designed and developed advanced Python and R-based algorithms for cluster analysis in optical microscopy, leading to significant data quality improvements. • Published peer-reviewed research article and presented findings at international conferences. • Mentored and supervised students in scientific research and data analysis techniques.