Building robust and scalable data platforms @ American Express Organization.
With over 11 years of experience in Software engineering and analytics, I am a seasoned professional dedicated to building robust, scalable, and cost-effective data solutions. My career is a testament to my ability to lead architectural design and implementation, delivering significant performance improvements and business value. I hold an M.S. in Data Science from the University of Potsdam, Germany, and a Post Graduate Diploma in Business Analytics from LIBA. I used to tutor in my Masters and in my Organization
I specialize in a wide array of cutting-edge technologies and platforms, including Python, Spark, GCP, and AWS. My expertise lies in designing and deploying complex data pipelines, leveraging tools like Airflow, Kafka, and DBT to streamline ETL processes. I have a proven track record of engineering solutions that enhance query performance, improve data accessibility, and reduce project costs.
Throughout my career, I've had the opportunity to lead transformative projects, from building a scalable cloud data warehouse on GCP to architecting a data lakehouse on AWS. I am also passionate about sharing my knowledge and expertise in Machine Learning, NLP, and Gen AI, and I am dedicated to helping others master the skills needed to succeed in the ever-evolving world of data.
