
Medisetti Uday Charan
@medisettiudaycharan
I build cloud ETL pipelines and analytics solutions using Azure, Snowflake, SQL, Python, and Power BI.
What I'm looking for
At Capgemini, I built automated cloud ETL ingestion pipelines for Honeywell's Product Lifecycle Management analytics environment using Azure Data Factory, Informatica IICS, and Python.
I engineered large-scale transformations with Azure Databricks and Snowflake, optimized data pipelines for real-time reporting, and validated ETL processes loading data into the Enterprise Data Warehouse. I also developed Oracle SQL queries and custom report views aligned to business and stakeholder requirements.
I test Power BI dashboards end to end, ensuring data precision and KPI alignment with warehouse sources.
I bring a practical focus on data quality, root cause analysis, and scalable BI reporting, collaborating with engineering teams and business stakeholders in Agile/Scrum environments.
Experience
Work history, roles, and key accomplishments
Architected and deployed automated Cloud ETL data ingestion pipelines using Azure Data Factory, Informatica IICS, and Python. Engineered large-scale transformations and optimized data pipelines using Azure Databricks and Snowflake to support real-time reporting and executive decision-making.
Education
Degrees, certifications, and relevant coursework
KL University
Master of Technology, Computer Science and Engineering
Pursued a Master of Technology in Computer Science and Engineering, expected to complete in 2025.
BVC Engineering College
Bachelor of Technology, Electronics and Communication Engineering
Completed a Bachelor of Technology in Electronics and Communication Engineering in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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