Sumanth Beeram Email & Phone Number

Bengaluru, Karnataka, India

Working on Health Domain Project of a leading US group• Creating and managing ETL pipelines for high-volume data processing.• Fetched data from various sources (through multiple consoles, APIs, SFTP’s, etc.)• Handling of finance, supply chain, HR, and commercial data.• Cleaned, analyzed, and aggregated data using Python, PySpark, and SQL• Worked on banner project's end-to-end.• Providing clarity of data to users, bug fixes and co-coordinating with source team… Show more Working on Health Domain Project of a leading US group• Creating and managing ETL pipelines for high-volume data processing.• Fetched data from various sources (through multiple consoles, APIs, SFTP’s, etc.)• Handling of finance, supply chain, HR, and commercial data.• Cleaned, analyzed, and aggregated data using Python, PySpark, and SQL• Worked on banner project's end-to-end.• Providing clarity of data to users, bug fixes and co-coordinating with source team andbusiness users. Show less

Bengaluru, Karnataka, India

◾ Data Engineering: -> Worked on various projects from multiple markets including Canada, the US, the UK, Australia, and India where I got the opportunity to connect with the market team and understand their business requirements.-> Fetched data from various sources (through multiple consoles, APIs, web scrapping, etc.) -> Cleaned, analyzed, and aggregated data using Python, PySpark, and SQL -> Stored data in various clouds storage (mostly used Azure, BIG Query… Show more ◾ Data Engineering: -> Worked on various projects from multiple markets including Canada, the US, the UK, Australia, and India where I got the opportunity to connect with the market team and understand their business requirements.-> Fetched data from various sources (through multiple consoles, APIs, web scrapping, etc.) -> Cleaned, analyzed, and aggregated data using Python, PySpark, and SQL -> Stored data in various clouds storage (mostly used Azure, BIG Query, MySql) -> Written alert script for each workflow to get alert mail with proper logs whenever the pipeline fails due to any reason or if there are any discrepancies in data. Show less