Data Engineer Senior

Koushik Kampa

Senior Data Engineer with ML

Profile

Data Engineer with 5+ years of experience in AWS services, AI/ML workflows, and building efficient data pipelines. Skilled in Python, Agile methodologies, and delivering real-time solutions. Proficient in machine learning algorithms, data analysis, and optimizing data accuracy. Experienced in time series forecasting and business intelligence tools. Managed GitHub repositories for team collaboration. Expertise in analytics tools like Anaconda and Jupyter Notebooks. Strong SQL skills for data extraction and transformation. Hands-on experience with various ML and DL algorithms. Developed NLP models for sentiment analysis. Proficient in Docker for application containerization. Skilled in Tableau and Power BI for interactive data visualization.

Employment History

Senior Data Engineer with ML at Express Scripts

January 2024 — May 2025

- Developed and maintained production NLP models with scalability in mind

• Built and maintained serverless ETL pipelines using AWS Lambda and AWS Glue

• Integrated AWS Redshift Serverless with AWS S3, DynamoDB, and Lambda to streamline data flow

• Developed real-time data processing systems using AWS Kinesis and Lambda

• Optimized complex SQL queries within Redshift to improve reporting performance by 30%In my role as a Senior Data Engineer with ML at Express Scripts, I focused on developing and maintaining NLP models for scalability, building and maintaining serverless ETL pipelines using AWS services, and optimizing SQL queries within Redshift. I also integrated various AWS services to streamline data flow and developed real-time data processing systems. My contributions improved reporting performance by 30% and enhanced data processing efficiency.

Data Engineer at Visa INC

April 2023 — December 2023

- Developed Sentiment Analysis using LLM Bert for end-user sentiment understanding

• Created response structure with guardrail ai and LLM

• Designed serverless data pipelines with AWS Lambda and Glue

• Built scalable data processing workflows with AWS CloudFormation

Details

+1-331-***-****

*************@*****.***

Skills

Python

AWS services

Machine learning algorithms

Data analysis

SQL

NLP models

Docker

Tableau

• Integrated AWS DynamoDB and S3 for low-latency and scalable data storageAs a Data Engineer at Visa INC, I developed Sentiment Analysis using LLM Bert for end-user sentiment understanding and created a response structure with guardrail ai and LLM. I designed serverless data pipelines with AWS Lambda and Glue, built scalable data processing workflows with AWS CloudFormation, and integrated AWS DynamoDB and S3 for low-latency and scalable data storage.

Data Engineer at Marcellus Infotech Private Limited March 2020 — November 2022

- Developed demand forecasting model using time-series techniques for efficient resource allocation.

• Created personalized product recommendations with machine-learning algorithms.

• Implemented optimization algorithms for data-driven models and high-performing demand forecasting framework.

• Designed and deployed cloud-based serverless applications using AWS Lambda and DynamoDB.

• Built ETL pipelines for seamless data ingestion and transformation, reducing manual intervention by 35%. Education

Masters, Lewis University, Romeoville

January 2024

Bachelors, Lovely Professional University

January 2021

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