Sudip Padhye

Software Engineer - Data

Seattle, Washington, United States
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Summary

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Senior
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Top School
Sudip Padhye is a data engineer with nine years of experience building and automating scalable data pipelines and data quality frameworks for retail and logistics platforms. He has delivered production-grade solutions at Nordstrom and DoorDash, reducing redeployment time, minimizing errors, and improving data retrieval latency by combining Python and Go pipelines with Spark, Hive, Kafka and Airflow. Skilled in AWS orchestration and CI/CD for Kubernetes-based deployments, he also implemented anomaly detection and incident notification integrations with Slack, PagerDuty and email. A recognized subject-matter expert and conference speaker, Sudip pairs hands-on engineering with a pragmatic focus on observability and security. His academic background (MS in Data Science from Indiana University) complements practical ETL, SQL and Agile experience across enterprise-scale analytical platforms. Outside core duties he’s delivered creative value-adds like auto-archiving frameworks and RCA alerting that highlight his penchant for automating operational headaches.
code10 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering (B.E.), Computer Science & Engineering (CSE), Bachelor of Engineering (B.E.), Computer Science & Engineering (CSE) at Visvesvaraya Technological University
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Indiana University Bloomington
languagesMarathi, Hindi, English
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Github Skills (25)

chaos-engineering10
jmeter10
sqllite10
django10
jenkins10
rest-api10
nodejs10
haproxy10
mysql9
kubernetes9
kafka9
docker9
devops9
cloud-native9
istio9

Programming languages (4)

TeXJavaScriptHTMLJupyter Notebook

Github contributions (5)

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A platform to upload, analyze & save your memories...
Contributions:2 releases, 3 reviews, 233 commits in 1 year
djangojmetersqllitememoriesistio
peter536/Product_Team06

Jul 2020 - Mar 2021

Repository for the product solution provided by COVID Outbreak Detection Team 06.
Contributions:844 commits, 7 PRs, 813 pushes in 8 months
outbreak-detectionoutbreak
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