Yuvraj  ·  Senior AWS Data / MLOps Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

About Yuvraj

Yuvraj is a Data Engineer with 5+ years of experience in big data processing and analytics, specializing in AWS and MLOps. He has a proven track record in designing real-time data pipelines and optimizing machine learning workflows.

5+ years of commercial experience in

FinTechInsuranceBankingLogistics & Supply Chain

Skills(23)

AWSApache AirflowApache SparkPythonDatabricksSalesforcePySparkAWS S3AWS GlueAWS KinesisCloudwatchShell ScriptingAWS LambdaSQL ServerNutanix Object-storeAWS EMRAWS RedshiftCronjobsMySQLPostgreSQLSQLboto3AWS SNS

Why hire Yuvraj?

Production deploy authorityDesigned real-time data pipelinesOptimized machine learning workflows

Designed and implemented multiple real-time financial data pipelines on AWS

Developed automated PySpark workflows for large-scale data processing

Successfully transitioned data processing strategies to AWS Glue jobs

Developed automated PySpark workflows for analyzing large-scale credit card transaction data

Successfully transitioned data processing strategies from SQL queries to AWS Glue jobs, significantly improving ETL processes

Project highlights(5)

Real-Time Financial Data Pipeline – Data ML OPS Engineer

Overview: This project designed and implemented a real-time financial data pipeline using the Finnhub API. Responsibilities: Designed and implemented a comprehensive real-time financial data pipeline on AWS. Utilized Databricks for scalable data ingestion and processing, supporting fintech applications like algorithmic trading.

DatabricksPythonPySparkAWS S3AWS GlueAWS KinesisCloudwatch

Key outcomes:

  • Successfully designed and implemented a real-time financial data pipeline on AWS

  • Created a scalable data engineering solution for real-time financial market data

Cloud Data Migration – Data ML OPS Engineer

Overview: This project focused on transitioning an organization's data from on-premises systems to cloud-based platforms. Responsibilities: Developed automated PySpark workflows for analyzing large-scale credit card transaction data on AWS S3. Optimized data storage and processing strategies to leverage cloud-based analytics.

PySparkAWS S3Shell ScriptingAWS LambdaSQL ServerCloudwatchApache Airflow

Key outcomes:

  • Successfully migrated an organization's data from on-premises to cloud platforms

  • Developed automated PySpark workflows for large-scale credit card transaction data

Credit Card Data Analysis – Data ML OPS Engineer

Overview: This project involved extracting, processing, and analyzing credit card transaction data using PySpark. Responsibilities: Created comprehensive data pipelines for banking operations. Used Databricks on AWS to process and transform data from multiple sources.

PySparkShell ScriptingAWS S3Databricks

Key outcomes:

  • Created comprehensive data pipelines specifically for banking operations

  • Developed PySpark programs to efficiently extract and analyze delta data from S3

RM Workbench Project – Data ML OPS Engineer

Overview: This project developed a comprehensive set of data pipelines for various aspects of banking operations, including employee incentives and performance ranking. Responsibilities: Implemented data pipelines using PySpark, Airflow, and Nutanix Object-store as the Datalake.

PySparkNutanix Object-storeApache AirflowAWS EMRAWS S3AWS GlueAWS RedshiftShell ScriptingCronjobsPythonMySQLPostgreSQL

Key outcomes:

  • Implemented data pipelines for calculating customer delinquency rates for credit cards and loans

  • Successfully processed and consolidated data from multiple sources for banking operations

Data Transformation Strategy Enhancement – Data ML OPS Engineer

Overview: This project involved enhancing data transformation strategies by transitioning from traditional SQL queries to AWS Glue jobs. Responsibilities: Successfully transitioned data processing from SQL queries on Redshift to AWS Glue jobs.

AWS GlueAWS RedshiftPythonSQLPySparkAWS Lambdaboto3AWS SNS

Key outcomes:

  • Successfully transitioned data processing strategy from SQL queries to AWS Glue jobs, resulting in improved ETL

  • Enhanced data processing efficiency through the development of PySpark jobs for transformation and aggregation

Industry experience

FinTech

4 projects
  • •Real-Time Financial Data Pipeline— Data ML OPS EngineerDatabricks · Python · PySpark · AWS S3 +3
  • •Cloud Data Migration— Data ML OPS EngineerPySpark · AWS S3 · Shell Scripting · AWS Lambda +3
  • •Credit Card Data Analysis— Data ML OPS EngineerPySpark · Shell Scripting · AWS S3 · Databricks
  • •RM Workbench Project— Data ML OPS EngineerPySpark · Nutanix Object-store · Apache Airflow · AWS EMR +8

Insurance

Reported in resume

Banking

2 projects
  • •Credit Card Data Analysis— Data ML OPS EngineerPySpark · Shell Scripting · AWS S3 · Databricks
  • •RM Workbench Project— Data ML OPS EngineerPySpark · Nutanix Object-store · Apache Airflow · AWS EMR +8

Logistics & Supply Chain

Reported in resume

Ready to work with Yuvraj?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.9 L/mo
Direct hirePossible
Start within48 hours
From₹1.9 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem owner
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Yuvraj

MLOps