Summary
Anand Nalya is a Data Wrangler with 14 years of experience building high-throughput, scalable big-data systems, currently driving ETL and real-time analytics at Automattic. He specializes in Spark, Kafka, Elasticsearch and stream processing, having optimized Spark jobs to process billions of events daily and achieved 5x performance improvements. Anand has deep operational experience from on-prem CDH cluster maintenance to designing self-serve ETL platforms (Spark + Airflow) and intelligent query-pruned activity logs. His background spans building ingestion pipelines, benchmarking distributed stores, and authoring core frameworks for analytics and instrumentation in production. Based in Indore, he’s now expanding into machine learning and real-time analytics, bringing a pragmatic blend of performance tuning, systems design, and data engineering hiring experience.
14 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering, Computers, Bachelor of Engineering, Computers at Medi-Caps Institute of Technology and Management, Indore
English, Hindi