Data Engineer at Spotify
Where they came from
Common skills
How they write about themselves
Headline and About section
Data Engineer with 8+ years of experience in Python, Scala, SQL, GCP, AWS, Azure, Docker, Kubernetes...
data engineer [no summary provided]
I like working on big data problems and solutions, with a focus on streaming and stream processing. I have multiple years of experience working with Apache Kafka and Apache Flink.
Proactive, curious and diligent Data Engineer. I thrive in environments that value diversity, accountability, and creativity.
How they write about their work
Experience role summaries
Built parallelized backend features and REST APIs for containerized microservice applications using Python, Bash, Docker, and Kubernetes.
Automated and optimized ad hoc recurring winback campaigns, which led to a 98.4% reduction in data scanned.
Skills: pandas · NumPy · Hive · Python · Amazon Web Services · Extract, Transform, Load · Apache Spark · dask · SQL · parquet · Snowflake.
Design scalable pipelines and collaborate with Finance, Accounting and Data teams to turn complex data into reusable, high-quality foundations for strategic insights.
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