About

Garvit Arya is a data engineer at Google with around 5 years of professional experience in advanced analytics and data sciences. He is an ardent data analyst and has worked in multiple roles, including business analyst, analytics strategist, data scientist, data engineer, and team leader. Currently, he is leading the end-to-end infrastructure management for centralized supply chain data warehouse of the consumer hardware product area of Google, which includes Pixel, Home Devices, Chromecast, etc. His roles and responsibilities include designing and developing multiple data warehouse systems based on BigQuery and Google's internal big data query engine, managing ETLs/relevant data infrastructure, configuring various internal tools/backend storage/access groups, and performing complex and large-scale data analysis on various business datasets from heterogeneous data sources using SQL, Python (Colab/Jupyter) to drive key insights and deliver business impact. Additionally, he creates visualizations/self-service BI reporting dashboard suites (Data Studio/Looker/Tableau) that showcase important metrics to leaders within Google. Garvit has previously worked at Google as a business analyst, where he primarily focused on enabling a stronger supply chain via robust data pipelines, reporting, and consultation serving supply chain teams, sales, and planning. He has also worked as a technical writer at Towards Data Science, publishing articles focused on the data science and data engineering domain. Garvit holds a Bachelor of Technology (B.Tech.) degree in Computer Science from Maharaja Agrasen Institute of Technology. He has experience in data engineering, infra, data scientist, data warehouse, SQL, Jupyter, research scientist, big data, Python, ETL, and backend. Overall, Garvit has 6.77 years of relevant experience and institutionalizes analytics to help his company make better decisions.