Summary
Navneet Arya is an outcome-driven data engineer with 8 years of experience designing and optimizing ETL pipelines and low-latency trading systems for financial markets. Currently an Associate on BlackRock’s Tick Data Warehouse and Analytics team, he handles end-to-end data warehousing for real-time and historical market data and has automated numerous manual processes across servers. He has a strong track record of dramatic performance improvements—reducing script runtimes by 99% and speeding database syncs and API responses—while improving data quality through root-cause analysis and remediation. Proficient in Python, PySpark, Snowflake, Airflow, SQL and Linux, he also builds ML/NLP solutions and production-grade APIs from his Accenture and Tech Mahindra experience. Based in Gurugram, he combines financial domain expertise with a knack for quickly learning new languages and tools, and often surfaces operational gaps to automate and harden systems. Colleagues rely on him for pragmatic optimizations that deliver measurable latency and reliability gains in production.
8 years of coding experience
5 years of employment as a software developer
Higher Secondary, PCM, Higher Secondary, PCM at Translam Academy International Meerut
Bachelor of Technology (B.Tech.), Information Technology, 68.00%, Bachelor of Technology (B.Tech.), Information Technology, 68.00% at krishna institute of engineering and technology
English