Sejal Vaidya
Data Lead
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolSejal Vaidya is a Data Lead with 14+ years of experience building data platforms that accelerate product and business outcomes across Digital Health, Fintech, and e-commerce. She has led ML-driven pricing experimentation at Zalando, supported medical research at Temedica, and helped Freeletics scale product adoption to over 39 million users, then transitioned to consulting growth-stage startups on self-service analytics and data strategy. Hands-on with modern data stacks, Airflow, Docker and GCS, she has contributed Airflow DAGs and ingestion pipelines to the widely used Data Engineering Zoomcamp, showing commitment to practical, open-source education. Known as a player–coach, she combines domain-driven data roadmaps with engineering leadership and cross-team influence to turn data into measurable product impact. Passionate about climate tech, inclusion, and gender diversity, she amplifies her technical work through public speaking and community building. Based in Berlin, she blends startup agility with enterprise-scale thinking to help teams move faster and make smarter decisions.
10 years of coding experience
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at University of Mumbai
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
docker10
airflow10
dockers10
data-engineering10
gcp10
data-pipelines9
python9
data-pipeline9
bash9
sql5
Programming languages (5)
Github contributions (5)
DataTalksClub/data-engineering-zoomcamp
Jan 2022 - Mar 2022
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
Role in this project:
Data Engineer
Data EngineerContributions:9 reviews, 101 commits, 14 PRs in 2 months
Contributions summary:Sejal contributed to the data ingestion pipelines by implementing Airflow DAGs. They worked on downloading and uploading datasets to Google Cloud Storage (GCS) using both Python and bash scripts. Additionally, the user made changes related to uploading data into a local database, indicating experience in both data extraction and loading processes. The user also worked with dependencies like Docker and managed Airflow configurations.
engineering-coursepythonbigquerydockerdata-engineering
DataTalksClub/data-paths
Nov 2020 - Jan 2021
Learning paths for data roles
Contributions:10 commits, 2 PRs, 9 pushes in 2 months
dataqualitydata-qualitydata-sciencecmlmlops
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