Nitin Vashisth

Head Of Data Engineering And Governance

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Nitin Vashisth is a data engineering and governance leader based in Munich with over a decade of experience building cloud-native analytics platforms and operationalizing data at scale. Currently Head of Data Engineering and Governance at MediaMarktSaturn, he has driven enterprise data strategy, established governance and security policies, and led a Teradata-to-GCP migration while shortening integration times via reusable GCP pipeline blueprints. He combines hands-on architecture work across AWS and GCP, BI tools (Tableau, Looker, Power BI) and infrastructure-as-code with people leadership—recruiting, mentoring and managing cross-functional teams. Known for pragmatic, outcome-oriented delivery, he has reduced time-to-live for data products by turning repeatable patterns into open-source blueprints used across teams. His background spans machine learning, privacy-preserving federated learning and CI/CD for data pipelines, giving him a rare mix of analytics, engineering and governance expertise. Fluent in translating business KPIs into scalable technical solutions, he partners closely with executives and vendors to maximize data-driven value.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Informatik, Master of Science - MS Informatik at Technical University of Munich
bookAnna University, Chennai
languagesHindi, English, German, German
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Stackoverflow

Stats
426reputation
30kreached
7answers
18questions
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Github Skills (71)

continuous-testing9
continuous-delivery9
continuous-deployment9
continuous-integration9
openshift9
scheduler8
python8
paas8
machine-learning8
devops8
kubernetes8
monitor8
trainer7
faunadb7
etl7

Programming languages (5)

HCLJavaScriptGoHTMLPython

Github contributions (5)

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Contributions:2 commits, 1 push, 1 branch in 1 day
nvnvashisth/Docker-Workshop

Jun 2018 - Jun 2018

Contributions:18 pushes in 12 days
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Nitin Vashisth - Head Of Data Engineering And Governance