Prasoon Mehrotra

Data Engineer

Delhi, India5 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Specialized in cloud computing and data engineering.
Experienced in enhancing data processing applications.
Passionate about innovative solutions and project success.

Stackforce AI infers this person is a Data Engineer with a focus on Fintech and Big Data solutions.

Contact

prasoon.98@outlook.com LinkedIn

Skills

Core Skills

Data EngineeringBig Data

Other Skills

AWS EC2AWS EMRAWS S3Apache KafkaApache SparkApache SqoopC++ExtractHTMLHadoopHiveJavaLoad (ETL)Microsoft ExcelMongoDB

About

Tech graduate in Computer Science Engineering with specialization in cloud computing from Manav Rachna International Institute of Research and studies, Faridabad (2020 Passout). My aim is to utilize my technical skills for achieving the target and developing the best performance in the organization with sheer determination and commitment. I would like to implement my innovative ideas, skill, and creativity for accomplishing the projects. Dedicated to enhancing department operations with an analytical and disciplined approach. My passion is to build a career that will provide me job satisfaction & self-development as well as help me achieve personal as well as organizational goals.

Experience

5 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

3 yrs 8 mos

Current Experience

Iris software inc.

2 roles

Engineer

Oct 2024 – Present · 1 yr 8 mos · Noida, Uttar Pradesh, India

Associate Engineer (Data Engineer)

Sep 2022 – Sep 2024 · 2 yrs · Noida, Uttar Pradesh, India

Part of the "Anti Money Laundering - Data Deletion AML Repository (DDAR)" team
in which we are redesigning and adding enhancements with the additional functionality
of Pyspark to handle the evergrowing workload, volume, variety, and size of the data that
applications are struggling to handle only with the hive functionality.
Experienced in working with AML Systems which process the Data Warehouse Systems to
track, and analyze customer's data after which statistical results based on the data are
derived.
Explored and identified the current issues and challenges with the project application
and worked on upgrades and redesigning of the application.
Implemented solutions to transform and analyze batch data using Pyspark and AWS tools
like EMR, S3, EC2, etc.
Solved performance issues in Spark scripts with an understanding of Joins, Groups, and
Aggregation.
Implemented a customized solution using spark, TestNG and Java for Testing of data in
hive tables.
Involved in UAT/SIT and production deployment of new requirements.