Sakshi Bais

Microsoft Certified Azure Data Engineer (DP-203) with 4+ years of experience in designing and implementing scalable cloud-based data solutions. Proficient in Azure Data Factory, Azure Databricks (PySpark), SQL, and ADLS Gen2, with expertise in building end-to-end ETL pipelines, data lake architectures, and Delta tables. Skilled in data modeling, performance tuning, and implementing governance standards to ensure high-quality, secure, and reliable data.

Hands-on experience in integrating structured and unstructured datasets, enabling advanced analytics and business intelligence solutions using Power BI. Strong collaborator with a proven track record of working in Agile environments to deliver data-driven insights that support business strategy.

Azure Data Engineer at Loginomic Technologies Solution PVT LTD (2021-10 – Present)

As an Azure Data Engineer at Loginomic Technologies Solutions, I have been responsible for designing and delivering scalable cloud-based data solutions. My role primarily involved building and managing end-to-end data pipelines using Azure Data Factory to ingest and orchestrate data from diverse sources into Azure Data Lake Storage Gen2. I worked extensively on Azure Databricks with PySpark to clean, transform, and optimize large datasets, implementing advanced ETL workflows and leveraging Delta Lake architecture for reliability and performance.

In collaboration with cross-functional teams, I gathered requirements, translated them into technical solutions, and adhered to Agile practices to ensure timely delivery. My professional expertise is validated by the Microsoft Certified Azure Data Engineer Associate (DP-203) credential, which reflects my capability in modern data engineering practices and cloud-based solution development.

BCA – Rashtrasant Tukadoji Maharaj (RTMNU), Nagpur (2022)