Hi There,
I'm Prashant Yadav
i am into Data Engineering|
About Me
Hello, My name is Prashant Yadav, I’m an ambitious individual who is deeply passionate about Data Engineering, cloud platforms, scalable data pipelines and everything related to modern data infrastructure.
"My love for cloud was inspired by my passion for learning new things. As a kid I’ve always observed things differently and always looked at life as an opportunity to learn and experience, innovate in ways to help others. The reason why I chose to learn data is because it is a euphoric feeling knowing that you can create something from literally nothing. When I create, I feel like I’m the most powerful person in the world. I love when I stumble upon a task to be quite challenging and difficult to figure out because situations like that keeps my brain sharp and only makes me stronger. I just look at coding like one huge puzzle, just putting the pieces together until they all fit"
- Prashant Pramod Yadav
E-mail : prashantyadav03082000@gmail.com
Place : United Kingdom, London

University Of Hertfordshire, London

MIT ADT University, India
October 2025 - January 2026
• Architected and operated batch data pipelines on AWS, building a scalable data lake architecture on Amazon S3 for structured and curated datasets exceeding 50+ TB.
• Designed and implemented automated data validation checks within ETL pipelines to improve data consistency and quality.
• Optimized Amazon Redshift schemas, distribution keys, and query execution plans, improving analytical query performance by 22%.
• Orchestrated scheduled workflows using Apache Airflow and implemented monitoring and alerting using AWS CloudWatch, improving pipeline reliability and reducing operational downtime by 25%.
Skills:
AWS · Amazon S3 · Redshift · SQL · Python · Apache Airflow · Spark · Data Modeling · ETL/ELT
December 2021 - December 2023
• Engineered structured data flows between application services and relational databases, supporting high-volume transactional systems processing 5M+ monthly records.
• Authored and optimized 100+ complex SQL queries, improving response times by 40% through indexing strategies and execution plan tuning.
• Implemented transformation logic and reconciliation routines to ensure accuracy and consistency across interconnected data systems.
• Led root cause analysis for production-level data issues, improving system stability and reducing database downtime.
Skills:
SQL · Database Optimization · Data Transformation · Data Integrity · Data Systems