Summary
Ankur Chavda is a Senior Data Engineer with 9 years of experience building scalable data platforms and pipelines across Spark, Databricks, Airflow, Python, Docker, and cloud environments (AWS/GCP). He has moved large legacy Teradata ecosystems to Spark/AWS, automated recurring ETL for real‑world healthcare data, and operationalized features and sentiment feeds used by ML models at companies like ZS, American Express, and Airbnb. Comfortable across the stack, he has hands-on experience with NoSQL, REST APIs, and productionizing news and social data for downstream analytics. Based in Bengaluru, he combines enterprise-scale data engineering rigor with startup agility from earlier full‑stack roles, and is known for pragmatic migrations and automation that reduce operational overhead. Notably, his background spans both product-facing API work and deep pipeline engineering, making him effective at bridging data consumers and platform teams.
9 years of coding experience
5 years of employment as a software developer
Btech. Information and Communication Technology Information and Communication Technology, Btech. Information and Communication Technology Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
English, Hindi, Gujarati