I am a dedicated and results-driven professional with a Master’s in Applied Analytics from Columbia University and a Bachelor’s in Computer Science. My expertise spans Data Engineering, Data Analytics, Full-Stack Software Development, and Natural Language Processing.
As a Cloud Data Engineer, I focus on designing and implementing scalable data pipelines to integrate large-scale data warehouses, transforming and automating data for downstream analytics and reporting. My work has involved migrating millions of records and claims into enterprise data platforms using cutting-edge technologies like GCP BigQuery, dbt, and Ab Initio, optimizing ETL processes by 35%.
During my tenure as a Software Engineer at Ericsson, I developed and maintained enterprise-level web applications, leading to a 14% decrease in overhead by implementing CI/CD practices and migrating applications to AWS. As a Data Engineer Intern at Primetals Technologies, I optimized ETL pipelines, resulting in a 26% reduction in data processing time.
I am proficient in Python, SQL, Java, TensorFlow, GCP, and AWS, with a proven ability to deliver efficient, high-quality solutions in dynamic environments. I am actively seeking full-time opportunities in data engineering, analytics, machine learning, and software development.
Feel free to reach out for collaborations or job opportunities!