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Chakravarthi Mupparapu

@chakravarthimupparap

Azure Data Engineer at GDI building retail data pipelines that cut unnecessary full-load processing by 30%.

At GDI, I design and develop Azure Data Factory pipelines that bring sales, inventory, product, customer, and e-commerce data into analytical solutions. I built incremental loading workflows that reduced unnecessary full-load processing by 30% and developed curated datasets for retail analytics.

Previously, at Harman Connected Corp Services Ltd, I developed ETL and data integration pipelines and Python- and SQL-based transformation workflows. Across both roles, I’ve worked on data validation, pipeline troubleshooting, and performance optimization for analytics-ready data.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

GDI

Sep 2025 - Present (1 year 1 month)

Designed and developed Azure Data Factory pipelines to ingest sales, inventory, product, customer, and e-commerce data from multiple source systems. Built and maintained scalable ETL/ELT workflows using ADF, Azure Databricks, SQL, and Python for enterprise data processing.

Azure Data Factory Azure Databricks SQL Python ETL ELT Data Pipelines Data Integration Incremental Loading Data Validation Data Quality Azure Synapse Azure SQL Pipeline Monitoring Root Cause Analysis Performance Optimization

Data Engineer

Harman Connected Corp Services Ltd

Jul 2021 - Jan 2023 (1 year 6 months)

Designed and developed scalable ETL and data integration pipelines to ingest, process, and transform structured and semi-structured data from multiple enterprise sources. Developed robust Python and SQL-based transformation workflows to cleanse, standardize, enrich, and prepare data for downstream analytics and reporting.