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Chandra Sekhar UserCU
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Chandra Sekhar User

@chandrasekharuser3

Azure Data Engineer at Deloitte USI, building Azure ETL pipelines and transforming enterprise data with PySpark.

India
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At Deloitte USI, I design Azure Data Factory pipelines to ingest and integrate data from enterprise sources. I also develop PySpark notebooks in Azure Databricks for distributed processing and ETL workloads.

I use Azure Data Lake Storage Gen2 for structured and semi-structured data, and build transformation workflows with Spark, PySpark, and SQL. My work includes data migration support, source-to-target mapping, validation, reconciliation, and data quality checks.

Before Deloitte USI, I developed ACH banking applications at Fiserv India Pvt Ltd and telecom billing applications at Amdocs. I also worked on batch processing, SQL optimization, production support, and legacy application enhancements.

Experience

Work history, roles, and key accomplishments

DU
Current

Consultant – Azure Cloud Data Engineer

Deloitte USI

Sep 2024 - Present (2 years 1 month)

Design and develop Azure Data Factory pipelines for data ingestion and integration. Develop PySpark notebooks in Azure Databricks for distributed data processing and ETL workloads.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University, Hyderabad logoJH

Jawaharlal Nehru Technological University, Hyderabad

Bachelor of Technology, Mechanical Engineering

Completed a Bachelor of Technology in Mechanical Engineering from JNTU Telangana in 2018.

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