About

Arpita Sethi is a Senior Consultant at Accenture in the Netherlands with a strong passion for data science, artificial intelligence, and machine learning. With over 3 years of experience in the IT industry, Arpita specializes in Azure, Cloud platforms, and MSBI stack. She has 11X Microsoft certifications and a Databricks Certified Data Engineer certification, making her a highly qualified professional. Arpita has a proven track record of automating daily tasks and reports, which has helped her clients save time and money. She has worked with international travel clients like Expedia, where she gained expertise in Python and ML for automation. Arpita enjoys taking on new challenges, and she is always striving to do her best. Currently working as a Senior Data Engineer at Neal Analytics, Arpita is part of a team of elite data engineers who modernize data and help customers transform their data. She is working on delta architecture for a client in the Middle East, where she handles data and performs complex delta operations while creating pipelines for ELT processes of big data. Her major technologies include Azure Databricks and Data Factory, with ADLS and Key Vault. In her previous role as a Data Engineer at Teksystems, Arpita worked with Microsoft on a new challenge with SSIS, Azure Data Factory, and DataBricks. She migrated the existing legacy system to the cloud to the new SQL Managed Instance as a destination instead of the traditional SQL Server. She also worked on creating a new application for the company using Python for comparison of reports. Excel, PDF, and Graphical reports are supported, and Tkinter in Python is used for the GUI. Arpita has a Bachelor of Engineering in Information Technology from Pes Institute of Technology & Management, Shivamoga. Her tech stack includes Data Engineering, Databricks, Azure, SQL, Python, ML, Data Scientist, DevOps, AI, Big Data, and Software Engineering. With 4.02 years of relevant experience, Arpita is a highly skilled and experienced professional in the field of data science.