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Poojitha Gadigoppula

@poojithagadigoppula

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Azure Data Engineer specializing in scalable ETL/ELT, PySpark, and Azure data platforms.

India

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What I'm looking for

I seek roles building scalable cloud data platforms and ETL/ELT pipelines using Azure and PySpark, with strong emphasis on automation, data quality, and cross-functional collaboration.

I am an experienced Azure Data Engineer who architects and optimizes scalable cloud data solutions to drive efficient ETL/ELT processes and high-performance integrations.

I have led enterprise migrations to Azure Data Lake and Synapse, moving 500+ GB and improving data retrieval times by 40%, and built automated ADF, Airflow, and PySpark pipelines that improved processing efficiency and uptime.

I modernized legacy ETL frameworks, migrating IBM DataStage workflows to PySpark with a 30% performance gain while ensuring data quality and parity across systems.

I collaborate closely with analysts and data scientists to deliver reliable data models, governance, and monitoring that increase data-driven decision-making and reduce operational overhead.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Wipro

Dec 2022 - Present (3 years)

Spearheaded end-to-end cloud data migration to Azure Data Lake and Synapse, moving 500+ GB and reducing data retrieval time by 40%; designed automated ADF/PySpark pipelines that improved processing efficiency by 35% and maintained 99.5% uptime for critical flows.