A Skilled Data Engineer with 5+ years of demonstrated expertise in managing and analyzing large datasets. Proficient in data collection, validation, ensuring accuracy and reliability. Demonstrated ability to collaborate with cross-functional teams to meet project goals and deadlines. Seeking opportunities to leverage expertise in a dynamic and growth-oriented environment.
Client: Fit Analytics:
Fit Analytics, founded in 2010 in Berlin, is a machine-learning company that helps global apparel brands solve sizing issues, boost conversions, and reduce returns. Its main product, Fit Finder, offers accurate size recommendations to online shoppers. In March 2021, Snap Inc. acquired the company for $124.4 million to strengthen its fashion and e-commerce efforts.
Developed scalable data pipelines for Fit Analytics' sizing recommendation platform, leveraging Apache Beam and Dataflow to ensure seamless data transformation and processing.
Optimized BigQuery queries using partitioning and clustering techniques, improving data retrieval efficiency and reducing query execution time by 35%.
Client : Schnucks
Project Description:
Worked on a digital transformation project for Schnucks, a leading grocery chain in the U.S., leveraging Google Cloud Platform (GCP) to modernize data infrastructure, enable predictive analytics, and enhance customer experience through real-time insights and scalable retail solutions.