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Highly skilled professional with overall 9+ years of experience with a proven track record of designing and implementing state-of-the-art products specially for data domain. Vast experience in building scalable data products in various domains like AdTech Data Analytics, MarTech Data Science, IT Data Analytics, Cloud Native Data Offerings, IT Services Automation, Model Driven Development and putting them into production. Experienced Bigdata solution architect, developer and open source contributor. Vast experience of designing & implementing complex & scalable data ingestion pipelines & processing components on Peta Byte scale Volume. Built large scale data components across all phases of data - Ingestion, Processing(ETL), Storage & Analyze. Designed & implemented cloud native unified analytics platform to ingest, process & analyze data without the need to write code. Architect-ed & developed large scale realtime stream processing systems with sub-second latency to get actionable insights for business & empower realtime reporting. Successfully implemented & productionized lambda architecture for large scale AdTech data for business reporting, analytics & data science use cases. Experience of working with complex data problems like fast data problems, skewed data & reporting latency. Production level hands on experience on cutting edge technologies like Hadoop, Kafka, Spark, Flink, Flume, HBase, Cassandra, File formats like Avro, Parquet etc. Experienced in tuning and managing large scale big data processing ecosystem. Good knowledge about Data Modeling, Data Quality, Formats & Data Security. Contributions towards open source community - Apache Flink. Presented PubMatic Streaming Analytics use cases in Apex Bigdata World 2017 Conference. ©

I`m a Senior in Electrical/Computer Engineering at the University of California, Santa Cruz. ©