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Senior AWS Data Engineer
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Volkswagen Group Technology Solutions India
Senior Data Scientist & Engineer
June 14, 2026 – Present
stock-market-realtime-data-pipeline
January 2, 2026 – Present
This project implements an end-to-end real-time stock market data processing pipeline using Kafka and AWS cloud services. The system simulates live stock market events, streams them through Kafka, stores the data in an AWS data lake, and enables serverless analytics using Athena.
View ProjectResume-2026-Data-Engineering
December 31, 2025 – Present
Resume-2026-Data-Engineering — GitHub repository
View Projectlocal-end-to-end-data-platform
December 16, 2025 – Present
End-to-end Kafka → Spark → Bronze/Silver/Gold → Snowflake data platform
View ProjectDynamoDB-Cost-Optimisation
October 7, 2025 – October 7, 2025
This project demonstrates how to optimize DynamoDB costs using AWS-native features like auto scaling, TTL, CloudWatch alarms, and AWS Budgets, all deployed automatically using AWS CloudFormation (YAML).
View ProjectSpark_Dataframes_Ex
May 3, 2023 – May 17, 2023
Converted spark dataframes to datasets in Scala for orders data
View ProjectPySpark_problem_solutions
April 7, 2023 – April 7, 2023
PySpark solutions to real world problems.
View Projectapache_spark_scala_realtime_scenerio
April 1, 2023 – April 8, 2023
Adding real-time problem's solution by developing code in Scala on top of Apache Spark.
View ProjectgreetingApp_FLASK
February 28, 2022 – February 28, 2022
A simple greeting app built with flask
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data engineering and data science, which aligns well with a 'Senior Data Scientist & Engineer' role. The diversity of projects (real-time pipelines, cost optimization, Spark transformations) indicates a proactive learning attitude and a breadth of technical interests. However, the projects are all personal, which might suggest less experience in collaborative, large-scale enterprise environments, potentially impacting cultural fit in a highly team-oriented setting without further information.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond what can be inferred from project descriptions. Project diversity suggests an ability to work on varied tasks.