Sakshi Dilip Siroya
About Sakshi Dilip Siroya
Sakshi Dilip Siroya is a Data Engineer with experience in Azure DataBricks and Azure Data Factory. She has a Master's degree in Computer Science and has worked for various companies, including Grace Infosoft and Blackstraw.ai.
Work at Confidential
Sakshi Dilip Siroya currently holds the position of Data Engineer at Confidential, where she has been employed since 2024. In this role, she applies her expertise in data engineering to support various projects and initiatives. Her responsibilities include utilizing cloud technologies and data processing frameworks to manage and analyze data effectively.
Previous Experience at Grace Infosoft
Sakshi worked as a Data Engineer at Grace Infosoft from 2021 to 2023 in Nagpur. During her tenure, she engaged in various data engineering tasks, leveraging tools such as Azure DataBricks and Azure Data Factory. Her role involved managing data workflows and ensuring efficient data processing.
Experience at Blackstraw.ai
Before her current role, Sakshi served as an Associate Data Engineer at Blackstraw.ai from 2023 to 2024 in Chennai, Tamil Nadu, India. In this position, she contributed to data engineering projects, further developing her skills in data processing and cloud technologies.
Education and Expertise
Sakshi holds a Master of Science (MS) degree in Computer Science from Deogiri College Aurangabad, where she studied from 2019 to 2021. Her academic background has provided her with a solid foundation in data engineering principles and practices. She has hands-on experience with tools such as PySpark, Hadoop, and Hive, and possesses a strong understanding of Spark Architecture.
Technical Skills and Tools
Sakshi has developed a diverse skill set in data engineering, including proficiency in Azure DataBricks and Azure Data Factory for data manipulation and workflow management. She utilizes PySpark for data extraction, transformation, and aggregation from various file formats. Additionally, she is experienced with cloud platforms such as Azure and AWS, enabling her to work effectively in cloud-based environments.