GA
Download Resume

Data Engineer

Gowtham
Alasakani

Data Engineer with proven experience designing and implementing scalable ETL pipelines and data processes using Python, SQL, and AWS. Experienced in microservices, analytics-ready datasets, data modeling, and production support.

View Projects Contact
Charlotte, NC +1 704 201 3496 Gowthamalasakani20@gmail.com LinkedIn gowthamalasakani.me

Impact Highlights

  • ETL speed +40%
  • ML accuracy +25%
  • Real-time data pipelines
  • Analytics-ready datasets

Focus Areas

  • Data modeling and warehousing
  • Time-series processing and validation
  • Microservices with FastAPI and Node.js
  • Cloud-native ETL on AWS

Technical Skills

Modern data engineering stack with strong software development foundations.

Programming

Python, Java, SQL, JavaScript, HTML, CSS, C, C++

Frameworks

Spring Boot, React.js, Node.js, Express.js, Bootstrap, FastAPI, TensorFlow, OpenCV, NumPy, Pandas

Databases

MySQL, PostgreSQL, MongoDB, DB2

Cloud and DevOps

AWS (EC2, S3, RDS), Docker, Jenkins, GitHub Actions

Data Engineering

ETL pipelines, data warehousing, time-series processing, data quality validation, performance optimization

APIs and Collaboration

REST, GraphQL, JSON, Postman, Git, GitHub, Jira, Agile/Scrum, SDLC, OOP, Microservices

Noteworthy Highlights

Results-driven delivery across data engineering and machine learning initiatives.

Improved machine learning model accuracy by 25% through dataset expansion and feature engineering.

Accelerated data processing by 40% by optimizing ETL pipelines and algorithmic workflows.

Delivered analytics-ready ETL workflows and dashboards for actionable insights.

Improved predictive model accuracy by 8% during internship through optimized training strategies.

Awarded Best Presenter (Feb 2023) at an AWS Cloud Computing workshop by GITAM University and Brainovision.

Professional Experience

End-to-end data engineering, microservices, and ML pipelines across industry and research.

Data Engineer

Jan 2024 - Dec 2024

Millennium Intech Private Limited | Chennai

  • Engineered scalable ETL pipelines using Python, DB2 SQL procedures, and AWS (S3, EC2, RDS) for high-volume time-series sensor data.
  • Modeled industrial automation data into analytics-ready datasets for monitoring, diagnostics, and performance optimization.
  • Applied statistical analysis and ML techniques to uncover operational patterns, improving efficiency and reliability outcomes.
  • Translated business requirements into FastAPI microservices and DB2 solutions for real-time processing.

Software Development Intern

Jan 2023 - Jul 2023

InternPe | Bangalore, India

  • Built and tested RESTful APIs with Node.js and Express.js to improve performance under higher traffic.
  • Resolved defects and reduced error rates during integration testing cycles.
  • Partnered with engineers using Agile/Scrum and Jira to deliver stable releases faster.

Web Application Developer (Freelance)

Apr 2023 - Jun 2023

Oasis Infobyte

  • Delivered responsive web apps with HTML, CSS, JavaScript, React.js, and Bootstrap.
  • Integrated RESTful APIs for dynamic data rendering and workflow automation.
  • Improved stability through debugging, cross-browser testing, and version control.

Data Analyst - Machine Learning

Apr 2023 - Jun 2023

Phoenix Global | Hyderabad, India

  • Developed supervised ML models with an 8% accuracy improvement over baseline benchmarks.
  • Performed EDA, feature engineering, and preprocessing to improve training effectiveness.
  • Used Python and AWS EC2 to train, test, and evaluate models efficiently.
  • Reported findings using statistical metrics and business-focused recommendations.

Project Undertaken

Machine learning solution deployed for real-world agricultural impact.

Plant Disease Detection

May 2025 - Jun 2025

Northwest Missouri State University | Maryville, MO

  • Led end-to-end design and deployment, improving classification accuracy by 25%.
  • Optimized data ingestion and algorithms to reduce latency by 40%.
  • Deployed solution across 50+ farms to enable data-driven decisions.
Python TensorFlow OpenCV Pandas

Education

Advanced study in applied computer science and engineering foundations.

Northwest Missouri State University

M.S. in Applied Computer Science

Aug 2024 - Dec 2025

GITAM University

B.Tech in Computer Science and Engineering

Sep 2020 - May 2024

Certifications

Continuous learning through industry and university-backed programs.

Python for Data Science and AI - Coursera

Introduction to Software Testing - University of Minnesota (Jul 2023 - Oct 2023)

Technical Support Fundamentals - Google (Aug 2021 - Dec 2021)

Fundamentals of Network Communication - University of Colorado System (Sep 2021 - Dec 2021)

Extracurricular

Community involvement and leadership.

Computer Society of India (CSI), GITAM University

Core Member

Jan 2022 - May 2024

Contact

Open to data engineering and analytics opportunities.

Let us build data systems that scale.

Reach out for collaboration, opportunities, or technical discussions.

Email Me Call Me