Anat Perly
Cloud Data Engineer
Israel
Summary
🤩
Rockstar🎓
Top SchoolAnat Perly is a Cloud Data Engineer with over 5 years of hands-on experience designing, building and migrating large-scale data pipelines and analytics platforms, currently focused on Google Cloud. She blends deep SQL, ETL and BI expertise (SQL Server, Oracle, Datastage, SSIS, Informatica, SSRS, Tableau, Qlik) with modern cloud and big‑data stacks including BigQuery, Snowflake, MongoDB and streaming systems. Anat has led cross-functional teams and end-to-end projects from PoC to production, pairing technical ownership with customer-facing consulting gained through independent engagements. Her background also spans search and streaming platforms (Solr, Elasticsearch, Kafka) and operational data engineering—building monitoring dashboards and automations to keep pipelines robust. Known for creative problem solving and pragmatic delivery, she brings both DBA-level performance tuning and scripting chops (Python, Windows/Linux) to bridge engineering and business needs. Based in Israel, she combines academic computer science training with a track record of translating complex requirements into scalable, secure data solutions.
4 years of coding experience
18 years of employment as a software developer
Technion Certified Web Developer, Technion Certified Web Developer at Technion - Israel Institute of TechnologyB.A., Computer Science – Systems and Applications, B.A., Computer Science – Systems and Applications at The Open University of Israel
English, Hebrew
Github Skills (14)
google-cloud-platform10
spanner9
stackdriver9
sqf9
bigquery8
google-cloud-dataflow8
data-stream8
gcp8
data-loss-prevention8
google-cloud8
dataflow8
google8
google-cloud-ml7
bigtable6
Programming languages (1)
Github contributions (3)
aperly-goog/events
Jan 2022 - Feb 2022
Contributions:3 pushes, 14 branches in 29 days
GoogleCloudPlatform/professional-services
Aug 2021 - Aug 2021
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Contributions:2 reviews in 1 day
gcpprofessionalgoogle-cloud-mlgoogledata-stream
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