Apurva Nandan
Data Engineer
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolApurva Nandan is a seasoned Data Engineer with 12 years of experience designing, building and deploying scalable data and backend systems across finance, research and cloud platforms. He combines deep hands-on expertise in Java, Python, Spark, Kafka, Airflow and Kubernetes/Openshift with practical DevOps skills in CI/CD, Docker and serverless (Knative) to deliver batch and streaming pipelines. Currently at SEB after leading cloud-native data projects at CSC, he has built platforms used by thousands, created Spark/Kafka deployments on OpenShift and run datasets-as-a-service workflows. Comfortable bridging research and production, he has a history of shipping search and ETL systems in both academic and startup settings and presenting technical work internationally. Colleagues value him for fast learning, strong troubleshooting and clear communication that turns complex data problems into maintainable systems.
12 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Information Technology, Master of Science (MS), Information Technology at Tampere University of TechnologyBachelor of Technology (B.Tech.), Electrical Engineering (Specialization: Computer Science), First Class with Distinction, Bachelor of Technology (B.Tech.), Electrical Engineering (Specialization: Computer Science), First Class with Distinction at National Institute of Technology Kurukshetra
English, Finnish, Hindi, Swedish
Github Skills (73)
notebook10
docker-run10
ipython10
jupyter10
jupyter-notebook10
jupyterhub10
jupyterlab10
binder10
bare-metal9
kubernetes-cluster9
python9
cordova-plugin9
google-kubernetes-engine9
docker9
aws9
Programming languages (11)
Github contributions (5)
CSCfi/spark-analysis
May 2015 - Sep 2016
Contributions:18 releases, 75 commits, 26 PRs in 1 year 5 months
analyzingdatasetsspark
csc-training/spark
Nov 2017 - Nov 2019
Contributions:22 commits, 1 PR, 20 pushes in 2 years
analyzingapachesparkapache-sparkdatasets
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