Summary
Overview
Work History
Education
Skills
Certification
Timeline
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RAGHU KANUKULA

Hyderabad

Summary

Data Engineering aspirant with a Mechanical Engineering background and strong analytical skills. Hands-on experience with Python, SQL, PySpark, and Databricks for data processing, transformation, and pipeline development. Proven ability to work with structured data, perform ETL operations, and apply problem-solving skills gained from real-world engineering projects.

Overview

2
2
years of professional experience
4
4
Certifications

Work History

Mechanical Engineer – Plant Engineering

L&T; Technology Services (LTTS)
03.2024 - Current
  • Performed data-driven engineering calculations, including airflow analysis, static pressure, and heat load calculations.
  • -Prepared structured engineering data, such as BOQs, RFQs, and technical calculation sheets.
  • Collaborated with cross-functional teams, and supported system optimization and documentation accuracy.
  • Developed strong analytical and problem-solving skills that are transferable to data engineering workflows.

Education

Bachelor of Technology (B.Tech) - Mechanical Engineering

Anurag Group of Institutions
Hyderabad
01.2024

Skills

Python programming

Big Data & Cloud: PySpark, Apache Spark, Databricks

Data Engineering Concepts: ETL/ELT, Data Cleaning, Data Transformation, Batch Processing

Databases & Storage: MySQL, PostgreSQL, CSV, JSON, Parquet

Tools: Git, GitHub, Jupyter Notebook, VS Code

Certification

- Python for Data Analysis

Timeline

Mechanical Engineer – Plant Engineering

L&T; Technology Services (LTTS)
03.2024 - Current

Bachelor of Technology (B.Tech) - Mechanical Engineering

Anurag Group of Institutions

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RAGHU KANUKULA