Anukul Dixit
About Anukul Dixit
Anukul Dixit is a Senior Analyst and Data Engineer currently working at LatentView Analytics in Bengaluru, India. He has a background in Computer Science and Engineering and specializes in data warehousing solutions for the medical insurance sector.
Current Role at LatentView Analytics
Anukul Dixit currently serves as a Senior Analyst - Data Engineer at LatentView Analytics in Bengaluru, Karnataka, India. He has been in this role since 2023, contributing to data engineering projects. His work focuses on developing data warehouses that provide a unified source of truth for data science and visualization teams, particularly in the medical insurance sector.
Previous Experience at PwC
Before joining LatentView Analytics, Anukul Dixit worked at PwC as an Associate 2 for a duration of six months in 2023. His tenure was based in Mumbai, Maharashtra, India. This role provided him with valuable insights and experience in the analytics field.
Career Background at Cognizant
Anukul Dixit has a substantial background at Cognizant, where he held multiple positions. He started as a Programmer Analyst Trainee from 2019 to 2020 in Chennai, Tamil Nadu, India. He later progressed to the role of Programmer Analyst from 2020 to 2022 and then served as an Associate from 2022 to 2023 in Bengaluru, Karnataka, India. His experience at Cognizant contributed to his development in data engineering and analytics.
Educational Qualifications
Anukul Dixit holds a Bachelor's degree in Computer Science and Engineering from SRM IST Chennai, which he completed from 2016 to 2020. He also earned a Postgraduate Degree in Data Science and Engineering from the Great Lakes Institute of Management in 2021. His educational background equips him with a strong foundation in technology and data analysis.
Technical Skills and Specializations
Anukul Dixit specializes in creating data warehouses and has experience with various cloud data warehousing solutions, including Azure Synapse, Snowflake, and AWS Redshift. He utilizes Azure Data Factory and Azure Databricks for ETL processes and employs Azure DevOps and GIT for version control and CI/CD processes. His technical skills are particularly relevant to the medical insurance domain.