Venkatesh Thota

Data Scientist

https://talent.gravityer.com/venkatesh-thota

Data and infra geek, always up for learning new things :)

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in data warehousing and analytics through the 'SQL-DataWareHouse-Project-'
Exposure to data pipeline concepts with 'ETL_Pipeline-using-airflow-' project
Familiarity with Python for scripting and data-related tasks
Basic understanding of containerization with Dockerfile

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-learning and personal development in data-related fields, which aligns with a proactive learning culture. However, the projects are predominantly personal and lack team collaboration aspects, which are crucial for cultural fit in many organizations. The diversity of technologies used (SQL, Python, Docker, Airflow, PySpark) indicates a broad interest, but depth in any specific area for a senior role is not evident.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test scores provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SQL-Practice

December 20, 2025 – December 20, 2025

practice

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Databricks-Preparation

November 25, 2025 – November 25, 2025

personal learning of Databricks via Udemy and self learning from YT

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Project_PS_SAMPLE

November 16, 2025 – November 16, 2025

sample project a sample fastapi application

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Multistage_Dockerfile

November 16, 2025 – November 16, 2025

Multistage Dockerfile example

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Pyspark_Tutorial

October 11, 2025 – October 11, 2025

personal tutorials of pyspark

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ETL_Pipeline-using-airflow-

October 5, 2025 – October 5, 2025

Data Pipeline Using Airflow to Pull Amazon Data Engineering Books and Store in PostgreSQL

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SQL-DataWareHouse-Project-

August 16, 2025 – August 31, 2025

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights industry best practices in data engineering and analytics.

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pl-SQL-edu-practice

April 21, 2025 – April 21, 2025

pl-SQL-edu-practice — GitHub repository

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Voting-app-kuberneter-kodkloud

March 20, 2023 – March 20, 2023

Voting-app-kuberneter-kodkloud — GitHub repository

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Sample_java_training

July 7, 2022 – July 7, 2022

learning and testing about Github in my training

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Key Strengths

Demonstrated interest in data warehousing and analytics through the 'SQL-DataWareHouse-Project-'
Exposure to data pipeline concepts with 'ETL_Pipeline-using-airflow-' project
Familiarity with Python for scripting and data-related tasks
Basic understanding of containerization with Dockerfile

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test scores provided.

Venkatesh Thota

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit