Nagnath Dahale is a Senior Data Engineer with over 10 years of experience designing cloud-native, enterprise-grade data platforms that turn raw data into actionable business insights. He specializes in GCP and lakehouse architectures—implementing Apache Iceberg, BigQuery, Dataflow and Databricks—to deliver high-performance pipelines that have cut processing times by up to 70% and reduced costs by 35%. His work spans banking and eCommerce, from migrating customer data platforms off Oracle to building ML-ready datasets and real-time analytics stacks. A certified GCP ACE and hands-on Python/PySpark developer, he combines deep technical craftsmanship with cross-functional leadership, mentoring teams and embedding data quality and governance into production systems. Notably, he has driven reusable pipeline frameworks that achieved 80% code reuse across projects, accelerating delivery for large enterprises.
10 years of coding experience
6 years of employment as a software developer
12th PCM, 12th PCM at Narayana Junior College - India
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at Amity University Gwalior
A web Application which represents statistical information of various data sets.
Contributions:80 commits, 85 pushes, 3 branches in 5 months
pythondata-setsdjangostatisticalweb-application
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