Nishchay Agrawal

Data Scientist

https://talent.gravityer.com/nishchay-agrawal

SDE-III (Data Engineer -3) at Walmart ❤️ | SDE-2 at Meesho 😊 | Ex-Data Engineer at Morgan Stanley, Zs Associates ✍️| Gold Medalist Uttarakhand Topper🥇

Bengaluru, Karnataka, India

Key Strengths

Demonstrated proficiency in Python for data engineering and analytics tasks.
Experience with big data technologies like Apache Spark and Hadoop.
Familiarity with cloud services, specifically AWS Glue and S3, and Snowflake.
Exposure to real-time data processing with Kafka and Apache Spark Streaming.
Practical experience with ETL job development and data cataloging.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards individual contributions and technical exploration. The diversity of projects (ETL, real-time analytics, web scraping, cloud integrations) indicates a proactive learning attitude. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to assess cultural fit comprehensively. The target role 'Data Scientist' aligns with many of the data-related projects, but the focus seems more on data engineering aspects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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

etl_generation

April 7, 2026 – Present

etl_generation — GitHub repository

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Snowflake-AWS-Secure-Integration-Framework-via-Integration-Objects

June 21, 2024 – June 21, 2024

Snowflake-AWS-Secure-Integration-Framework-via-Integration-Objects — GitHub repository

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snowflake_cdc

June 21, 2024 – June 21, 2024

snowflake_cdc — GitHub repository

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glue_etl_job_data_catalog_s3

June 20, 2024 – June 21, 2024

glue_etl_job_data_catalog_s3 — GitHub repository

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Apache_Airflow

December 27, 2023 – December 27, 2023

Apache_Airflow — GitHub repository

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Kafka_Real_Time_Analytics

December 27, 2023 – December 27, 2023

Kafka_Real_Time_Analytics — GitHub repository

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Aws_small_project

December 27, 2023 – December 27, 2023

Aws_small_project — GitHub repository

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Web_Scraping

December 27, 2023 – December 27, 2023

Web_Scraping — GitHub repository

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Spark-SQL---Case-Study-

June 28, 2020 – June 28, 2020

In this case study, we are giving a real-world example of how to use Spark-SQL on top of the HADOOP for different exploratory data analysis. In here, we have a predefined dataset (yellow_tripdata_2015-01-06.csv) having more than 15 columns.

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Twitter-Sentimental-Analysis-Using-Apache-Spark--Streaming

June 4, 2020 – June 4, 2020

Problem Statement - Analyzing the user sentiment based on the tweet Description- This is a hands-on Twitter analysis project using the Twitter API for analyzing tweets. We use apache spark streaming, Scala programming language, and apache Bahir library fro reading the social media of Twitter. Finally, you will be able to read the results for various operations by filtering, parsing, and aggregating it depending on the tweet analysis requirement.

View Project

Key Strengths

Demonstrated proficiency in Python for data engineering and analytics tasks.
Experience with big data technologies like Apache Spark and Hadoop.
Familiarity with cloud services, specifically AWS Glue and S3, and Snowflake.
Exposure to real-time data processing with Kafka and Apache Spark Streaming.
Practical experience with ETL job development and data cataloging.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Nishchay Agrawal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit