Gunashekar Chenna

Senior Software Engineer

Hyderabad, Telangana, India4 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Solved large-scale 2PB data challenges using Spark and Airflow.
Hackathon Winner: ExperianPeerGPT & JCL2Airflow AI Assistant.
Mentored 4000+ students in ML, Python & Marketing Strategies.

Stackforce AI infers this person is a Data Engineering and AI/ML specialist with a focus on Big Data solutions.

Contact

gunashekar.chenna@experian.com LinkedIn

Skills

Core Skills

Apache SparkAwsImage ProcessingComputer Vision

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache AirflowBootstrapC++Cascading Style Sheets (CSS)Convolutional Neural NetworksConvolutional Neural Networks (CNN)Data StructuresDatabase Management System (DBMS)Deep LearningGitHTMLHadoopJenkins

About

Hi, I’m Gunashekar Chenna – a Senior Data & Software Engineer passionate about solving problems and driving innovation with technology. 🔹 Experience: 3.3 years full-time + 1.8 years internships 🔹 Expertise: Data Engineering, GenAI, Big Data, AI/ML, and Cloud 🔹 Tech Stack: Spark, Airflow, Python, Java, Scala, SQL, AWS, Azure AI, MERN, Jenkins, Terraform, Docker Highlights - Solving large-scale 2PB data challenges using Spark, Airflow & GenAI - Hackathon Winner: ExperianPeerGPT & JCL2Airflow AI Assistant - Built ConfluenceGPT, an IDE extension integrating GenAI for productivity - Solved 1000+ coding problems on Leetcode, GFG, Codechef, Hackerrank - Global Rank 12 & 104 – TCS CodeVita Season 10 - Mentored 4000+ students in ML, Python & Marketing Strategies I’m currently open to new opportunities in the Data/AI space. Feel free to connect or reach out at 📩 gunashekarchenna8@gmail.com!

Experience

Experian

3 roles

Senior Software Engineer

Oct 2025 – Present · 5 mos · Hyderabad, Telangana, India

Software Engineer

Aug 2022 – Sep 2025 · 3 yrs 1 mo · Hyderabad, Telangana, India

Generated airflow DAGs for the mainframe ~110 JCL jobs using retrieval-augmented generation (RAG) techniques for querying LLMs deployed within the network.
We successfully deployed a cloud-based big data platform, running on Spark and EMR with other AWS services, that has replaced a vendor tool entirely.
The new platform has significantly improved the query processing speed for the analytics team.
As a result of this implementation, the organization has saved $250k per year on infrastructure and maintenance costs.

PySparkScalaApache AirflowPython (Programming Language)HadoopAmazon Web Services (AWS)+7

Software Engineer Trainee

Nov 2021 – Aug 2022 · 9 mos · Hyderabad, Telangana, India

We have created Data Ingestion and Transformation pipeline for the IVAPS India project using Pyspark and Ascend platforms.
Developed a product called MLOps Assist, a custom extension mounted on top of the Jupyter environment for seamless user experience in terms of packaging the artifacts using Python and TypeScript.

Letsgrowmore

Data Science Intern

Oct 2021 – Oct 2021 · 0 mo · Remote

Developed applications for Stock Market Prediction and Forecasting.
Worked on Image Processing techniques and OpenCV in Python.
Learnt Natural Language Processing (NLP) and in depth Recurrent Neural Networks ( RNNs ).

Swiftai

Machine Learning & Computer Vision Engineer

Sep 2020 – Mar 2021 · 6 mos · Remote

Built packages of Computer Vision backend algorithms for image classification and object
detection.
Worked on the customizations of Convolutional Neural Networks for better accuracy on the classification models in Deep Learning.
Built applications for face mask detection, license plate detection and face recognition.