Ankur Chavda

Senior Data Engineer

Bengaluru, Karnataka, India
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Summary

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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.
code9 years of coding experience
job5 years of employment as a software developer
bookBtech. 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
languagesEnglish, Hindi, Gujarati
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Stackoverflow

Stats
33reputation
6kreached
0answers
5questions
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Github Skills (62)

docker10
spark10
python10
data-engineering10
kafka10
pyspark10
dbt10
gcp10
data-pipeline10
javascript9
terraform9
data-pipelines9
ruby9
spark-streaming9
big-data9

Programming languages (5)

C#ScalaJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:3 commits in 11 months
ankurchavda/SparkLearning

Sep 2019 - Apr 2022

A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
Contributions:43 commits, 2 PRs, 30 pushes in 2 years 8 months
sparkbig-datapyspark
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