Akash Nilugal is a Staff Data Engineer with nine years of experience specializing in big data platforms, cloud services, and building enterprise data fabrics. He is an Apache CarbonData committer and PMC member with 140+ open-source commits, and has a track record of performance-focused innovations—such as MV time-series indexing, local dictionary compression, and CDC optimizations—that materially improved query speed and storage efficiency. At Visa he architects end-to-end data fabric and unified governance using DBT, Airflow, Kubernetes and DataHub, and previously drove cloud integration and serverless metadata services at Huawei. He blends deep Spark, Presto/Trino, Hive and Hadoop expertise with hands-on systems design (including a CarbonData streamer for real-time ingestion). Akash’s contributions span both product-grade engineering and open-source stewardship, making him adept at translating research-level optimizations into production at scale. Based in Bengaluru, he pairs strong academic performance in ECE with a pragmatic focus on measurable performance and operational simplicity.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Electronics and Communications Engineering, CGPA 9.01, Bachelor of Engineering - BE, Electronics and Communications Engineering, CGPA 9.01 at Sri Jayachamarajendra College of Engg., MYSORE
Central Board Of Secondary Education, 9.8 CGPA, Central Board Of Secondary Education, 9.8 CGPA at Sri Sathya Sai Loka Seva Vidya Kendra, Alike
Pre University College, 98% in PCMB and 4th rank to whole District, Pre University College, 98% in PCMB and 4th rank to whole District at Sri Jagaduru Tontadarya Pre University College, GADAG
dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
Contributions:4 pushes, 3 branches in 1 month
databrickssqlapachesparkdbt
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