Hi, I'm Aishwarya Elango, a passionate Data Engineer with over 2 years of hands-on experience in Python and SQL-based ETL/ELT pipeline development. I specialize in automating and optimizing data pipelines, having successfully reduced processing time by 87% through smart workflow designs. I thrive in cross-functional teams and love collaborating with stakeholders to deliver reliable and scalable data solutions. In addition to my technical skills, I am committed to continuous learning and professional growth, currently exploring cloud data services like Google Cloud Platform and Snowflake. I have had the opportunity to build diverse projects ranging from student management systems to deep learning image processing pipelines, combining robust data handling with practical business insights.…

Aishwarya Elango

Hi, I'm Aishwarya Elango, a passionate Data Engineer with over 2 years of hands-on experience in Python and SQL-based ETL/ELT pipeline development. I specialize in automating and optimizing data pipelines, having successfully reduced processing time by 87% through smart workflow designs. I thrive in cross-functional teams and love collaborating with stakeholders to deliver reliable and scalable data solutions. In addition to my technical skills, I am committed to continuous learning and professional growth, currently exploring cloud data services like Google Cloud Platform and Snowflake. I have had the opportunity to build diverse projects ranging from student management systems to deep learning image processing pipelines, combining robust data handling with practical business insights.…

Available to hire

Hi, I’m Aishwarya Elango, a passionate Data Engineer with over 2 years of hands-on experience in Python and SQL-based ETL/ELT pipeline development. I specialize in automating and optimizing data pipelines, having successfully reduced processing time by 87% through smart workflow designs. I thrive in cross-functional teams and love collaborating with stakeholders to deliver reliable and scalable data solutions.

In addition to my technical skills, I am committed to continuous learning and professional growth, currently exploring cloud data services like Google Cloud Platform and Snowflake. I have had the opportunity to build diverse projects ranging from student management systems to deep learning image processing pipelines, combining robust data handling with practical business insights.

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Skills

Experience Level

ETL
Expert
Python
Expert
SQL
Expert
PostgreSQL
Expert
GitHub
Intermediate
Data Visualization
Intermediate
Google Cloud
Intermediate
ArcGIS
Intermediate

Work Experience

Data Management Executive at National Youth Council (OBS)
June 1, 2025 - September 5, 2025
Built and optimized ETL workflows using Excel Power Query, reducing data consolidation time by 40% through collaborative cross-functional efforts. Automated data processing pipelines that eliminated over 200 hours of manual work annually, improving data reliability and enabling efficient testing and validation with stakeholders.
Data Operations Associate at She Loves Tech
October 1, 2023 - September 5, 2025
Developed sophisticated data processing workflows using JavaScript and Google Cloud technologies to manage over 500 startup records with 99% data integrity. Delivered actionable data analysis and insights to support cross-functional decision-making, actively engaging with marketing and program teams to align on technical specifications.

Education

Diploma at Singapore Polytechnic
April 13, 2020 - April 17, 2023

Qualifications

AWS Cloud Engineering (Ongoing, 26 hands-on projects)
January 11, 2030 - September 5, 2025
Geospatial Data Science with Python
January 11, 2030 - September 5, 2025
Advanced Python Development (24 real-world projects)
January 11, 2030 - September 5, 2025

Industry Experience

Government, Non-Profit Organization, Education, Software & Internet
    paper Spatial Analysis on Zomato

    This project focused on understanding the ETL pipeline and foundational spatial analysis techniques using Python. Here, I explored how to read, manipulate, and process spatial data with libraries such as Pandas, Folium, NumPy, Matplotlib, and Seaborn. A major component of the course involved creating spatial visualizations—including choropleth maps, geographical scatter plots, heatmaps, and marker-based maps—to effectively communicate spatial insights.

    Link: https://www.twine.net/signin

    paper SAR-Based Wildfire Burn Mapping and Spread Potential

    This project is a lightweight prototype to create SAR-based wildfire monitoring products. It demonstrates how Sentinel-1 data can be used to map burned areas and generate an initial fire spread potential model using open environmental data.

    Link: https://www.twine.net/signin

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