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No keyword skim. Each CV gets the read your sharpest reviewer would give it.
Pipeline
12 applicants awaiting review · last sync 2m ago
In review
12
+4 this week
Strong profiles
3
no role match yet
Below threshold
47
under 50% fit
JL
Julia Lehmann
Senior Data Engineer·Data · Engineering·6 yrs · Berlin · Zalando, Delivery Hero
92fit
PythonSparkAirflowdbtSnowflakeKafkaPostgreSQLTerraform+4 more
View extracted CV & match reasoning▾
Why opes scored 92
Strong on the role's core stack: production Python pipelines at scale, deep Airflow + dbt experience, and a recent move from Zalando's data platform to Delivery Hero's real-time analytics. Calls out Kafka and Snowflake in the work, not just the keywords. Slightly light on cloud ops vs. the role description, which weighs the score down from 95.
“Led the migration of Delivery Hero's order-events pipeline from a legacy Kafka → Spark batch system to a near-real-time dbt+Snowflake model serving 40+ downstream teams.”
All 12
Awaiting HR 4
Awaiting Expert 8
Strong profiles 3
Below threshold 47
Applicant
Matched role
Status
Fit
JL
Julia Lehmann
Senior Data Engineer · 6y
Senior Data Engineer
Data · Engineering
Awaiting Expert
92
›
MR
Marco Reuter
10y BCG · 4y McKinsey
—
no current match
★Strong profile
—
›
AB
Aisha Bello
CI/CD · Kubernetes · AWS
Platform Engineering
Engineering
HR approved
87
›
TK
Tobias Kraus
Java backend · 6y
Software Engineer
Engineering
Below threshold
42
›