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Pavan User

@pavanbadempet

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Data Engineer skilled in building efficient data pipelines.

India

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What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for growth in data engineering and analytics.

As a Data Engineer at Tata Consultancy Services, I specialize in designing and developing robust data solutions that enhance operational efficiency. My recent work on the Nissan Data Platform involved creating AWS Lambda APIs and Streamlit frontends, which resulted in a 45% reduction in latency for event-driven ETL pipelines. I pride myself on achieving 100% test coverage, ensuring reliability and performance in all my projects.

During my internship experiences, I applied advanced analytics techniques to predict employee attrition with an impressive 86% accuracy and developed a cancer prediction model with 85% accuracy. My academic background in Computer Science and Engineering, complemented by a minor in Artificial Intelligence, has equipped me with a solid foundation in both theoretical and practical aspects of data engineering and analytics.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Tata Consultancy Services

Nov 2023 - Present (1 year 8 months)

Designed and developed AWS Lambda APIs and Streamlit frontends using Python, Boto3, Snowflake, and API Gateway, enabling secure, event-driven ETL pipelines and reducing latency by 45%. Developed scalable ETL pipelines using Apache Spark and SQL, enabling efficient processing of large-scale financial data and improving throughput by 30%.

MAPR Python AWS Lambda Streamlit Snowflake API Gateway Apache Spark SQL Pytest Moto AppTest MapR Minio Parquet Dremio

Data Analytics Intern

TCS iON

Mar 2023 - Present (2 years 4 months)

Applied ensemble learning techniques to predict employee attrition with 86% accuracy. Built a FastAPI backend to serve the attrition prediction model.

fastAPI Machine Learning Python

AI Intern

FutureSkills Prime

Sep 2021 - Present (3 years 10 months)

Developed and evaluated a cancer prediction model with 85% prediction accuracy. Deployed the model as a web application with Azure App Service.

Machine Learning Azure Services Python

Education

Degrees, certifications, and relevant coursework

Guru Nanak Institutions Technical Campus

Bachelor of Technology, Computer Science & Engineering

Grade: 8.2 CGPA, First Class with Distinction

Activities and societies: Scholarships: Prime Minister’s Scholarship 2019-2023

Pursued a Bachelor of Technology in Computer Science & Engineering with a minor in Artificial Intelligence. Achieved a First Class with Distinction, maintaining an 8.2 CGPA. Awarded the Prime Minister’s Scholarship from 2019 to 2023.