Vikrant Puppala

Data Scientist

https://talent.gravityer.com/vikrant-puppala

databricks

Key Strengths

Extensive experience with Databricks ecosystem, indicated by multiple personal projects related to Databricks SQL connectors and drivers.
Proficiency in multiple programming languages including Python, Java, Go, C++, and TypeScript, which are valuable for data science and engineering roles.
Demonstrated interest in data and AI infrastructure through projects like 'unitycatalog' and various Databricks connectors.
Current role as a Data Scientist at Databricks aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on the Databricks ecosystem, which shows deep engagement with a specific platform. While this indicates strong technical alignment with data-centric roles, the lack of diversity in project domains outside of Databricks-related tooling might suggest a narrower range of interests or experiences. The candidate's current role as a Data Scientist at Databricks aligns well with the target role, indicating a potential good cultural fit within a data-focused organization.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

databricks

October 22, 2025 – Present

ADBC drivers for Databricks

View Project

unitycatalog

June 13, 2024 – Present

Open, Multi-modal Catalog for Data & AI

View Project

databricks-sqlalchemy

January 18, 2024 – Present

See PECO-1396 for more details about this repository.

View Project

databricks-jdbc

June 19, 2023 – Present

JDBC for Databricks SQL

View Project

databricks-sql-nodejs

May 19, 2022 – Present

Databricks SQL Connector for Node.js

View Project

databricks-sql-go

May 18, 2022 – Present

Golang database/sql driver for Databricks SQL.

View Project

Cryptography-and-Network-Security

September 4, 2018 – November 6, 2018

Cryptography-and-Network-Security — GitHub repository

View Project

Key Strengths

Extensive experience with Databricks ecosystem, indicated by multiple personal projects related to Databricks SQL connectors and drivers.
Proficiency in multiple programming languages including Python, Java, Go, C++, and TypeScript, which are valuable for data science and engineering roles.
Demonstrated interest in data and AI infrastructure through projects like 'unitycatalog' and various Databricks connectors.
Current role as a Data Scientist at Databricks aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Vikrant Puppala

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit