Arnab Mondal is a seasoned Data Engineer with nine years of experience building and operationalizing large-scale data platforms, currently at Google after senior roles at phData and UsefulBI. He combines deep Big Data and cloud expertise—Spark, Hadoop, Kafka, Snowflake, DBT, Terraform and Azure/AWS—with hands-on Python engineering to design ETL pipelines, migrations and automation that reduce manual effort and downtime. At TCS he administered seven Cloudera clusters (500+ nodes) and led rapid ETL tool development and team growth, demonstrating both low-level ops skills and product-focused delivery. He’s fluent in multiple languages and stacks (Java, Scala, C++, Django, Power BI) and has driven data validation, Iceberg table and Kafka-centric architectures in production. Known for quickly mastering new technologies, Arnab blends systems administration discipline with modern data engineering practices to translate complex data sources into reliable analytics pipelines. Based in Kolkata, he pairs engineering rigor with a curiosity for algorithms and efficient coding cultivated since his early programming days.
9 years of coding experience
6 years of employment as a software developer
Engineer’s Degree Computer Software Engineering, Engineer’s Degree Computer Software Engineering at Institute Of Engineering and Management
High School Science, High School Science at DAV model school
High School Science, High School Science at St Xavier's School , Durgapur
Contributions:1 push, 1 branch in 5 years 3 months
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