Jithin Sukumar

Software Engineer at Indeed.com

Tokyo, Japan
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Summary

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Senior
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Top School
Jithin Sukumar is a software engineer based in Tokyo with 10 years of experience building high-throughput data pipelines and search infrastructure. He currently develops metrics and pipelines at Indeed to measure marketplace liquidity while partnering closely with research and business teams to surface market-vs-inventory gaps. Previously at Mercari he engineered search-index aggregation serving >10k reads/sec and >1k writes/sec and introduced a transliteration model that improved query-to-conversion latency. He contributes to prominent open-source projects like Apache Airflow, adding BigQuery integrations and improving CI/CD and web UI features. Trained at IIT Kharagpur in electrical engineering and certified in Python from MITx, he blends systems-level rigor with data-driven product focus. Colleagues describe him as a pragmatic problem-solver who steadily improves team processes to scale impact.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor’s Degree, Electrical Engineering, 9.24/10, Bachelor’s Degree, Electrical Engineering, 9.24/10 at Indian Institute of Technology, Kharagpur
languagesEnglish, Hindi, Japanese, Malayalam
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Stackoverflow

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Github Skills (13)

apache-airflow10
automation10
automations10
orchestration10
workflow-engine10
bigquery10
orchestra10
python10
cicd10
gcp10
data-engineering9
testing9
sql7

Programming languages (5)

C#JavaCHTMLPython

Github contributions (5)

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apache/airflow

Dec 2019 - Apr 2020

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userBack-end & DevOps Engineer
Contributions:6 PRs, 15 comments in 3 months
Contributions summary:Jithin contributed to the backend code by adding features to the web UI and incorporating BigQuery integration. They also worked on improving the CI/CD process, specifically addressing issues in the testing framework and build process. Their work included implementing and testing features, as well as general bug fixes and improvements to the overall workflow.
airflowapache-airflowapachepythonscheduler
jithin-sukumar/airflow

Jan 2020 - Apr 2020

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:37 pushes, 10 branches in 3 months
monitorbigqueryapacheprogrammaticallyapache-airflow
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