Data Engineer with AWS ETL Expertise

Yashaswi Male

Nalgonda, Telangana, India

939-***-**** # *****************@*****.*** ï linkedin.com/in/yashaswi-male Objective

Data Engineer with hands-on experience in building ETL pipelines using Python, Spark, and cloud services, looking to optimize data infrastructure and enable high-performance analytics at scale. Education

Vignan Institute of Technology and Science 2020 – 2024 Bachelor of Technology in Computer Science (AIML) CGPA: 7.5 Narayana Junior College 2018 – 2020

Intermediate (MPC) 94%

LFVMGHS 2017 – 2018

SSC CGPA: 9.5

Technical Skills

• Programming Languages: Python, Java(basic)

• Cloud & Data: AWS (S3, Glue, Lambda, EC2, Redshift, IAM), ETL Pipelines

• Big Data & Analytics: PySpark, Pandas, NumPy, Matplotlib

• Databases: MySQL, MongoDB

• Visualization: Tableau

• Web Technologies: HTML, CSS, JavaScript, ReactJS, Node.js, Express.js Internship

Data Engineer Intern Jul 2025 – Present

Kritsnam Technologies

– Designed and developed a Python-based portal to fetch and consolidate flow meter data across departments using a single FM number.

– Performed calibration deviation analysis, calculating percentage variance between actual and baseline calibration values using AWS-based pipelines.

– Implemented data processing and ETL workflows on AWS and built Tableau dashboards for monitoring calibration trends and anomalies.

– Built a SIM lifecycle management portal, enabling identification of duplicate and inactive SIMs, contributing to cost reduction initiatives.

– Developed deduplication and time-series tracking logic to manage SIM state transitions (ACTIVE, SUSPENDED, INACTIVE).

Academic Projects

Unmasking Deep Fakes: Detecting Low–Quality Forgeries through Unseen Artifacts

– Led a team to build a deepfake detection system using LSTM models to classify real and forged images/videos.

– Achieved 99% accuracy in detecting low-quality artifacts, surpassing baseline results.

– The solution can be applied for content filtering in social media and government screening systems. Image Denoising via Sequential Ensemble Learning

– Investigated ensemble learning for image denoising by combining multiple lightweight denoisers.

– Enhanced visual quality while maintaining low latency — suitable for real-time applications.

– Improved denoising performance by 99% over baseline models. E-Commerce Application (MERN Stack)

– Developed a full-featured e-commerce platform with authentication, product management, and checkout flow.

– Built RESTful APIs for users, products, and orders using Express.js and Node.js.

– Implemented JWT-based authentication and role-based access control.

– Used MongoDB Atlas for scalable backend and Redux for state management. Certifications & Trainings

• Data Engineer Intern- Kritsnam Technologies

• Certified in MERN Stack — Vector India

• Machine Learning with Python — Certified

• Cisco Certifications: Programming Essentials in C & Python

• Data Analytics and Cloud Computing — Edunet Foundation

• Presented paper at ICESC 2024: “Unmasking Deep Fakes: Detecting Low–Quality Forgeries through Unseen Artifacts” Workshops Attended

• Machine Learning with Python — Pantech Learning

• Data Analytics and Cloud Computing — Edunet Foundation Soft Skills

• Adaptable and resourceful; thrives in fast-paced environments

• Strong communication and presentation skills

• Problem-solving and analytical thinking

• Collaboration and teamwork

Declaration

I hereby declare that the information furnished above is true to the best of my knowledge. Place: Hyderabad Yashaswi Male

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