Abhijit Chakankar
Software Engineer at Databricks
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAbhijit Chakankar is a software engineer based in California with over two decades of engineering experience and a recent four-year focus on information retrieval, ranking systems, and large-scale data platforms. He has driven search relevance improvements at Google, built scalable architectures at Cohesity, and now contributes to data-sharing and Delta Lake tooling at Databricks, including adding Change Data Feed support to the popular open Delta Sharing protocol. His strengths span production machine learning, MapReduce-style big data stacks, and backend engineering for secure data access. Trained at IIT Delhi and Stanford (MS CS), he combines deep systems and algorithmic expertise with practical product delivery across startups and major cloud-scale organizations. Unusually, his career bridges chip-design tooling early on with modern distributed data systems, giving him a broad perspective on optimization and system design.
4 years of coding experience
25 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)MS, Computer Science, MS, Computer Science at Stanford University
Github Skills (12)
big-data10
data-sharing10
spark10
delta-lake10
python10
data-engineering10
api-design9
restful-api9
rest-api9
pandas9
api-rest9
sql7
Programming languages (2)
Github contributions (3)
delta-io/delta-sharing
May 2022 - Jan 2023
An open protocol for secure data sharing
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:412 reviews, 9 commits, 45 PRs in 8 months
Contributions summary:Abhijit primarily focused on enhancing the Delta Sharing reader and connector, adding support for change data feed (CDF) actions. Their contributions included modifying the Python and Spark codebases to convert CDF actions in the DeltaSharingReader, incorporating features like handling empty data frames, and adjusting file indices. They also implemented changes to the REST client and server components to properly handle CDF-related requests. The user's work supports the secure data sharing protocol, which enhances data accessibility and management.
secureopen-protocolsharingbig-dataspark
delta-io/delta
Jan 2024 - Oct 2024
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Contributions:5 reviews, 10 comments in 9 months
analyticsprestodbflinkbig-dataspark
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