Mohan Balaji Battu
About Mohan Balaji Battu
Mohan Balaji Battu is a Data Engineer currently employed at Inspire, where he specializes in building data pipelines from Oracle ERP systems. He has a background in data engineering and holds multiple Microsoft certifications.
Work at Inspire
Mohan Balaji Battu has been employed as a Data Engineer at Inspire since 2024. In this role, he focuses on developing and maintaining data pipelines that facilitate the extraction and processing of data. His work contributes to the organization's data management and analytics capabilities.
Previous Experience at Apps Associates
Before joining Inspire, Mohan Balaji Battu worked at Apps Associates in various capacities. He served as a Staff Consultant for two months in 2023, an Associate Consultant from 2022 to 2023, and an Associate Trainee from 2021 to 2022. His tenure at Apps Associates spanned over two years, during which he gained significant experience in data engineering and consulting.
Education and Expertise
Mohan Balaji Battu earned a Bachelor of Technology (BTech) in Computer Science from Bapatla Engineering College, completing his studies from 2017 to 2021. He holds three Microsoft certifications: Azure Data Fundamentals, Azure AI Fundamentals, and Azure Data Engineer Associate, which underscore his expertise in data engineering and cloud technologies.
Technical Skills and Specializations
Mohan specializes in building data pipelines that extract data from Oracle ERP systems, including EBS, Fusion, and BI Publisher. He has extensive experience with the Delta file format and optimizing big data workloads, utilizing features such as ACID transactions, versioning, and time travel. His proficiency in PySpark and Python is evident in his work on data transformation, machine learning, and advanced analytics projects.
Data Engineering Projects and Tools
In his current role and previous positions, Mohan has utilized Azure Synapse Analytics and Azure Databricks to build notebooks for data transformation and advanced analytics. His work involves leveraging these tools to enhance data processing and machine learning capabilities, contributing to the overall efficiency of data workflows.