Shubham Kumar

ETL Data Processing using AWS: Streamlined the data flow process for a life transformational training and coaching company; ingested data from disparate data sources such as 3CLogic, Google Sheet, Facebook, and InfusionSoft; worked with the team to design and develop an ETL pipeline for the process using AWS; created actionable reports using Power BI based on the client’s business requirements. ETL Data Processing using Azure: Developed ETL data pipeline using Azure Data Factory for a steel pipe manufacturing company; implemented various components like Pipeline/ Linked Service/ Trigger/ Datasets/ Data Flows/ Activity; worked on an Azure Synapse Analytics notebook using python and created a pipeline.

Automatic testing of 20+ variants of android and ios mobile device applications and granular features; spearheaded a team of 6 freshers, mentored and organized task distribution, adhering to strict deadlines; coordinated with client in development and deployment of 550+ automation scripts in Py4web framework.

Developed a digital platform to update and view employees details and information handled by the employee and HR; managed checks for reimbursements, benefits, and claims, and applied for office bus service based on FCFS basics; developed an ESS portal using python based Django framework through the MVC model.