Mayur Singal
Senior Software Engineer at Deuex Solutions Pvt. Ltd.
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolMayur Singal is a Senior Software Engineer based in Mumbai with 7 years of full-stack and back-end experience, primarily in the healthcare domain. He is proficient in Python, C++, Java and jQuery, and has a solid foundation from a BE in Information Technology. Mayur has contributed to notable open-source projects—adding SQL dialect and parser enhancements to sqlfluff and improving data ingestion and ETL connectors in OpenMetadata—demonstrating deeper expertise in data integration and SQL engine internals. He has progressed through roles at Oracle and multiple startups to senior engineering positions at Deuex Solutions and Collate, balancing product delivery with platform work. Colleagues describe him as a pragmatic engineer who moves between API/backend implementations and data profiling tasks, often surfacing subtle schema and edge-case issues before they reach production.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at University of Mumbai
Github Skills (31)
python10
data-engineering10
open-source10
sql10
snowflake9
postgresql9
bigquery9
java9
glu9
fest9
front-end-development9
javas9
aws-glue9
metadata-management8
data-pipeline8
Programming languages (10)
Github contributions (5)
open-metadata/OpenMetadata
Jan 2022 - Jan 2023
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:2 releases, 1132 reviews, 287 commits in 1 year
Contributions summary:Mayur contributed to the development of the Glue connector by adding functionality for table types. They also worked on the roles and teams ingestion APIs, ensuring they are only called when ingesting users. Moreover, they addressed issues in the BigQuery data profiler to use the schema name instead of the project ID and handled none data types in sql source. The user has demonstrated experience in data integration and ETL pipelines.
pythondatadata-observabilitycollaboratedata-catalog
sqlfluff/sqlfluff
Dec 2022 - Dec 2022
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 1 commit, 9 PRs in 1 day
Contributions summary:Mayur contributed extensively to the `sqlfluff` project, primarily focused on enhancing SQL dialect support for various database systems. Their work involved adding features for SparkSQL, Oracle, Postgres, TSQL, and Snowflake, including support for new syntax, keywords, and functionalities like dollar literals, materialised views, and bracketed queries. This included modifications to lexer and parser rules, and associated tests. These enhancements demonstrate an understanding of SQL dialects.
dialectslinterpypisql-lintertemplated
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