Design an AI data product.

"The process felt quite rigorous, with multiple stages and a lot of coordination involved. There were also periods where communication felt fragmented—for example, it took some time to hear back between stages, and one of the interviews started noticeably late. While everyone I spoke with was professional and engaging, more consistent communication throughout the process would have made for a smoother candidate experience."

"Overall, the interview process was well organized and professional. The interviewers were engaged, respectful of time, and provided opportunities to discuss both technical and behavioral experiences. I appreciated the focus on real-world problem solving and the chance to explain my thought process rather than just provide answers. What went well was my ability to communicate my experience with data engineering, data warehousing, ETL pipelines, and large-scale data processing. I was also able to provide detailed examples from past projects and relate them to the requirements of the role. One area that could have gone better was managing time during some of the technical discussions. In a few cases, I spent more time than necessary exploring alternative approaches before arriving at the final solution. Looking back, I could have structured my responses more concisely and clarified assumptions earlier. Overall, the process was a valuable experience that helped me better understand the role, the team’s expectations, and the areas where I can continue to improve"