Dheeraj Malisetty is a data engineer with 8 years of hands-on experience building scalable data platforms and production ETL pipelines across AWS, Hadoop, Spark, and Kafka ecosystems. He has architected cloud data lakes and migrated monolithic systems to modern architectures using EMR, Glue, Redshift, Snowflake and infrastructure-as-code tools like Terraform. Dheeraj repeatedly optimizes Spark workloads—broadcasting, shuffle tuning, caching and executor sizing—to deliver efficient batch and streaming transformations for clickstream and user-profile enrichment. He combines strong Java/Scala foundations with practical Python data engineering and ML-featurization experience, and has productionized streaming pipelines that land into Snowflake and ADLS. Comfortable across the full data lifecycle, he also brings backend microservices and DevOps experience (Spring Boot, Docker, Jenkins) that helps bridge engineering and data teams. Based in Illinois, he pairs deep operational know-how with a knack for migrating legacy MapReduce jobs to modern Spark architectures.
Contributions:6 PRs, 5 pushes, 2 branches in 2 years
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