Saeed Zareian
Staff Software Engineer at Twitter
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSaeed Zareian is a Staff Software Engineer with about eight years of experience building large-scale data platforms and pipelines for companies including Twitter, Amazon, eBay and The Globe and Mail. He blends hands-on engineering (Scala, Spark, Airflow, BigQuery) with architecture and tech lead experience, having led teams, owned LDAP/experiment lifecycles, and delivered the first commercial data platform at a major Canadian publisher processing over a billion events per day. At Twitter he engineered graph-theory-driven DAG generation, cut experiment latency and costs significantly, and migrated critical workloads to GCP; at eBay he worked on full-snapshot transaction ingestion and real-time seller tools. He contributes to open-source data infrastructure—most notably fixing and extending Snowplow enrichment components—demonstrating pragmatism in production systems and integrations. With an MSc focused on cloud computing and big data and a track record of turning complex data challenges into reliable, monitored pipelines, he excels at reducing operational risk while scaling analytics.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Information Technology, 3.85/4, Bachelor of Science (BS), Information Technology, 3.85/4 at University of TehranMaster’s Degree, Information Systems and Technology, Master’s Degree, Information Systems and Technology at York University
French, Persian, English
Stackoverflow
83reputation
13kreached
3answers
3questions
Github Skills (18)
data-pipelines10
sbt10
analytics10
scala10
data-pipeline10
data-collection9
aws8
kafka7
dynamodb7
amazon-dynamodb7
android6
validation6
jquery6
grails6
forms6
Programming languages (5)
Github contributions (5)
snowplow/snowplow
Jul 2018 - Apr 2020
The leader in Next-Generation Customer Data Infrastructure
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 commits, 8 PRs, 70 comments in 1 year 9 months
Contributions summary:Saeed contributed to the Snowplow project by addressing configuration issues and enhancing the system's functionality. They fixed a configuration example within the stream enrich module and updated SBT dependencies for Spark enrich and Scala common enrich modules. They also added a warning regarding the deprecated user-agent-utils enrichment and implemented an HTTP remote adapter, adding key integration features to the common enrich components.
gcpdatabehavioralserver-sidedata-warehouse
globeandmail/snowplow-stream-loader
Apr 2018 - Mar 2020
Writes Snowplow enriched events from Kinesis to Elasticsearch
Contributions:66 pushes, 35 branches in 1 year 10 months
kinesiseventsenrichedsnowplowelasticsearch
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