Sumedh Sakdeo
San Francisco, California, United States
Summary
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RockstarSumedh Sakdeo is an experienced software engineer in San Francisco with 8 years focused on distributed systems, data infrastructure, and analytics tooling. He specializes in stream and batch processing, data engineering, and data visualization, with hands-on work improving database interactions and data handling in large open-source projects. Notably, he contributed backend enhancements to Apache Superset to improve BigQuery integration and JSON handling, and helped advance the python-bigquery-sqlalchemy dialect by adding numeric type support, partition/clustering metadata, and federated Drive sources. Sumedh blends practical engineering with thoughtful data modeling to make complex data flows more reliable and discoverable. Colleagues rely on him to translate ambiguous data requirements into performant, production-ready solutions that scale. He brings a pragmatic open-source mindset and a track record of improving tooling that downstream teams depend on.
8 years of coding experience
Github Skills (17)
bigquery10
python10
sqlalchemy10
sql10
data-engineering9
pytest9
database8
flask8
database-administration8
databases8
flask-ask8
admin8
gcp7
data-visualization6
data-visualisation6
Programming languages (7)
Github contributions (5)
googleapis/python-bigquery-sqlalchemy
Aug 2018 - Mar 2019
SQLAlchemy dialect for BigQuery
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 5 PRs, 18 comments in 6 months
Contributions summary:Sumedh primarily contributed to enhancing the SQLAlchemy dialect for BigQuery. Their work involved adding support for numeric data types, refactoring code to utilize `types.DECIMAL`, and fixing issues related to repeated fields. Further contributions included improving the dialect's functionality by returning partition and clustering keys and enabling access to Google Drive sources for federated queries. The user also wrote and updated tests for the project.
pythondialectsqlalchemysqlbigquery
apache/superset
Aug 2018 - Oct 2018
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Backend Developer
Backend DeveloperContributions:6 commits, 5 PRs, 8 comments in 2 months
Contributions summary:Sumedh primarily contributed to the backend of Apache Superset, focusing on enhancements related to database interactions and data handling. Their work involved modifying `db_engine_specs.py` to improve BigQuery integration, including handling specific dialect requirements and optimizing data fetching. Further contributions included adapting the system to handle JSON data types and improve data preview functionality. They also focused on BigQuery-specific optimizations.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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