Pavan Teja Maddu

Background

About Pavan Teja Maddu

As a Data Engineer with 10+ years of experience I specialize in building scalable cloud-native data solutions that fuel business intelligence and analytics. I have a strong track record of designing and managing end-to-end data pipelines. I’ve contributed to major data initiatives at enterprises like Verizon and Kroger where I developed automated ETL workflows streaming pipelines with Apache Kafka and Spark Structured Streaming and optimized cloud data warehouses to boost performance and reduce costs. My experience also includes data integration validation and transformation of structured and semi-structured data at scale. Beyond the pipeline I bring data to life through impactful visualization and reporting. I'm skilled in Looker building intuitive dashboards that empower teams with data-driven insights and support smarter decision-making. With expertise in Python SQL and PySpark I’m passionate about automating workflows improving data quality and ensuring security and governance across cloud environments. Whether it’s architecting robust data platforms or optimizing for speed and scalability I aim to build systems that are reliable insightful and future-ready. Let’s connect if you're looking for a data engineer who blends technical depth with a strong business focus.