Ravindra Lanka
Software Engineer at Acryl Data
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRavindra Lanka is a seasoned software engineer with nine years of experience based in the San Francisco Bay Area, currently building data infrastructure at Acryl Data. He has a strong background in backend systems and search/query serving from senior roles at Facebook and eBay, and earlier systems and driver work at Microsoft and Intel. His contributions to the DataHub open-source project improved ingestion and visualization of nested schemas and AVRO logical types, reflecting a knack for making complex metadata pipelines more robust. Educated with advanced degrees from University of Utah and IISc, he blends rigorous academic training with practical production engineering. Colleagues would describe him as a pragmatic problem-solver who moves between low-level protocol and high-level data-platform concerns with ease. An understated strength is his history of writing specialized algorithms and tooling—from oligonucleotide design software to fast local alignment search—showing deep algorithmic curiosity beyond typical backend work.
8 years of coding experience
18 years of employment as a software developer
BE, Computer Science and Engineering, BE, Computer Science and Engineering at College of Engineering, Osmania University, HyderabadThe University of UtahM.E. System Science and Automation, Computer Science, M.E. System Science and Automation, Computer Science at Indian Institute of Science Bangalore
Github Skills (11)
avro10
metadata10
data-pipelines10
data-pipeline10
python10
auto-discovery9
discovery9
data-governance9
data-catalog9
service-discovery9
data-modeling9
Programming languages (3)
Github contributions (5)
datahub-project/datahub
Aug 2021 - Oct 2022
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 426 reviews, 112 commits in 1 year 1 month
Contributions summary:Ravindra primarily contributed to adding support for nested schemas within the ingestion and visualization pipelines of the DataHub project. Their work involved modifications to schema extraction and conversion logic, specifically within the `metadata-ingestion` module. The user's changes involved supporting AVRO logical types for improved schema handling and also fixing a bug in the SchemaField type for Avro fixed types. These contributions enhanced the platform's ability to ingest and process more complex metadata schemas.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
rslanka/datahub
Aug 2021 - Oct 2022
A Metadata Platform for the Modern Data Stack
Contributions:148 pushes, 76 branches in 1 year 1 month
data-managementdata-stackmodern-data-stackdata-catalogdatahub
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