Summary
Niranjan Jadhav is a Big Data Engineer and senior consultant with about a decade of experience building scalable data platforms and streaming pipelines for enterprises like Visa, AT&T, and Ford. He specializes in high-throughput, low-latency streaming, cloud-native data engineering (AWS, Snowflake), and performance tuning of Spark/Hive at multi-petabyte scale. Niranjan has led efforts to redesign pipelines for observability and maintainability, and has built a feature store to accelerate data science use cases. His background includes research-driven work on personalized recommendation models, giving him a strong grounding in applied ML and statistical methods beyond pure infrastructure. Based in Austin, he blends hands-on engineering with cross-functional collaboration to turn complex data into actionable insights. Colleagues would note his mix of research rigor and production-first pragmatism that helps move prototypes into reliable, monitored systems.
10 years of coding experience
11 years of employment as a software developer
Master's degree (with Thesis) Computer Science, Master's degree (with Thesis) Computer Science at Wayne State University
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Savitribai Phule Pune University