Shivam Goyal

Senior Software Engineer at Myntra

Bengaluru, Karnataka, India
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Summary

👤
Senior
🎓
Top School
Shivam Goyal is a Senior Software Engineer with 7 years' experience designing and delivering data engineering solutions across Azure, AWS, Snowflake and on-premise warehouses. He specializes in building robust ETL pipelines, data modeling and warehouse automation using tools like SSIS, Pentaho, Airflow and Azkaban, and is proficient with PostgreSQL, Redshift and SQL Server. At Myntra he drove cloud migrations and automation that cut manual effort and project costs by up to 90%, and led database migration strategies from Redshift to Synapse. He has practical experience tuning complex SQL, performance-optimizing stored procedures, and implementing SCDs and other advanced ETL patterns. An active contributor to Apache CarbonData, Shivam has fixed tricky issues in array handling, memory leaks and Spark integrations, demonstrating deep familiarity with high-performance data stores. Based in Bengaluru, he pairs hands-on engineering with stakeholder collaboration to turn ambiguous analytics needs into automated, production-grade data products.
code7 years of coding experience
job7 years of employment as a software developer
bookBE, Computer Science, 73%, BE, Computer Science, 73% at ITM UNIVERSITY, GWALIOR
bookSenior Secondary, Mathematics, Senior Secondary, Mathematics at Miss Hill School Gwalior
languagesEnglish, Hindi
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Github Skills (8)

data-formats10
javas10
data-loading10
big-data10
spark10
data-format10
java10
scala9

Programming languages (1)

Scala

Github contributions (2)

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apache/carbondata

Nov 2018 - Sep 2019

High performance data store solution
Role in this project:
userBack-end Developer
Contributions:21 commits, 20 PRs, 54 comments in 10 months
Contributions summary:Shivam primarily contributed to bug fixes and enhancements within the Apache CarbonData project. Their work focused on addressing issues related to complex data types, specifically array handling in the SDK and Spark integrations. They also fixed a memory leak in the range sort functionality and addressed an issue in the DESC FORMATTED command, and several data loading test cases. The user demonstrated expertise in CarbonData's internal workings and its integration with Spark.
carbondatadata-formatdata-storeapachebig-data
shivamasn/carbondata

Nov 2018 - Oct 2019

Mirror of Apache CarbonData
Contributions:26 pushes, 12 branches in 10 months
carbondatajavaapache
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