Hi, I’m Paavana Raghunandan Vallabhaneni, a data engineer and analyst with hands-on experience designing and optimizing large-scale batch and streaming pipelines across enterprise, IoT, and education analytics domains. I build cloud-native data solutions using Apache Spark, Databricks, Kafka, and Airflow across AWS, Azure, and Snowflake. I’m passionate about turning data into actionable insights and reliable data platforms that scale with business needs.
I’m proficient in automated ETL frameworks, real-time data workflows, and reliability enhancements with Python, SQL, dbt, and Informatica. I’ve delivered end-to-end solutions that cut processing time by 20 hours weekly and sped up releases by 3 days, enabling faster decision-making for product and operations teams.
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