Hareen Edla
Summary
Dynamic Data Engineer with expertise in data pipelines, cloud technologies, and scalable architectures. Skilled in ETL processes, real-time integration using AWS, SQL, and Python. Proven leadership in coordinating multi-team projects and delivering data-driven solutions. Passionate about leveraging technical skills to optimize data management and drive business insights.
Overview
2
2
years of professional experience
Work History
Project Coordinator - Navigating SLU
Global Grad
Saint Louis, MO
02.2024 - 04.2024
- Assigned as a project coordinator for a large-scale data migration project, responsible for overseeing timelines, resources, and deliverables.
- Led teams in collecting and analyzing campus data to build an interactive platform for students and staff, focused on improving navigation and accessibility across the university.
- Developed and managed data pipelines using AWS Glue and Python to process location-based data and user behaviour analytics. Utilized SQL for querying data and optimizing the dataset to ensure high performance. Coordinated efforts across the 10 teams, ensuring data integrity and timely completion of tasks.
- Successfully launched the "Navigating SLU" platform, enhancing the user experience for students and staff by providing real-time data on campus navigation. The project was completed two weeks ahead of schedule, and the platform saw a 40% increase in engagement due to its accuracy and efficiency.
Data Engineer Intern
Excelerate
07.2023 - 09.2023
- Worked with complex datasets to uncover actionable insights and improve business decision-making.
- Developed data pipelines and optimized queries to extract insights efficiently from large datasets.
- Built and optimized data pipelines using AWS Glue and S3 to manage and process large volumes of data. Leveraged SQL and Pandas to analyze datasets and extract key metrics. Utilized Power BI and AWS Redshift for creating dashboards that visualized data insights, integrating them with real-time data sources for up-to-date reporting.
- Enhanced data-driven decision-making, reducing data processing time by 25% and improving data quality and accessibility, increasing stakeholder confidence in insights provided.
Application Developer Associate
Accenture
09.2022 - 07.2023
- Tasked with developing and automating business applications for streamlined data-driven operations.
- Leveraged cloud and data engineering technologies to optimize workflows and integrate real-time data solutions.
- Utilized Python and SQL to automate data processes, and employed AWS Lambda to trigger real-time data integration between systems. Automated ServiceNow ticket creation by implementing ETL pipelines using Apache Airflow to ensure data was seamlessly transferred between error reporting systems and databases. Designed intuitive interfaces using PowerApps for enhanced user interactions.
- Reduced response time by 30% and improved overall system efficiency by optimizing error reporting through automation, allowing for real-time data pipeline integration and reducing manual intervention.
Education
Master of Science - Information Systems
Saint Louis University
09.2024
Advance Program - Data Science
IIIT Banglore
01.2023
Bachelor of Science - Computer Science
Osmania University
06.2022
Skills
- Languages: Python, SQL, Java
- Data Tools: Pandas, NumPy, SQLAlchemy
- Cloud Platforms: AWS (EC2, S3, RDS, Lambda), Azure
- Databases: PostgreSQL, MySQL, MongoDB
- ETL Tools: Apache Airflow, AWS Glue, Informatica
- Data Warehousing: Redshift, Snowflake
- Big Data Tools: Apache Spark, Hadoop
- Version Control: Git, GitHub
- Developer Tools: Jupyter, PyCharm, VS Code
Leadershipextracurricular
- President of IT Club: Led the IT club, organizing workshops, seminars, and tech events, while managing projects to enhance members' skills in the IT field.
- NCC 'A' Grade Certification: Earned the NCC 'A' grade certification, demonstrating leadership, discipline, and responsibility through comprehensive training in fitness and leadership skills.
Publications
CYBERBULLYING DETECTION IN SOCIAL NETWORK, International Journal for Research Trends and Innovation (IJRTI), acknowledged and validated
Projects
Drowsiness Detection System using Python, Python, SQLite, OpenCV,
- Captured real-time video from an in-vehicle camera and applied facial landmark detection to monitor driver behavior.
- Utilized the Eye Aspect Ratio (EAR) algorithm to detect eye closure and signs of drowsiness.
- Integrated an alarm system that activates upon detecting drowsiness, providing real-time alerts for drivers to take corrective actions.
- Stored and managed detection data using SQLite for future analysis and system improvement.
Customer Purchase Data Pipeline | AWS, Python, SQL
- Developed a robust data pipeline to process and analyze customer purchase data for an e-commerce platform.
- Utilized AWS Glue for ETL operations, transforming raw transaction data from AWS S3 into structured formats.
- Implemented SQL queries and Python scripts to clean, aggregate, and load the data into a Redshift data warehouse for further analysis.
- Created data validation scripts to ensure data integrity throughout the pipeline.
- Resulted in a 40% improvement in data processing efficiency, enabling real-time insights on customer purchasing trends and behaviors.
Timeline
Project Coordinator - Navigating SLU
Global Grad
02.2024 - 04.2024
Data Engineer Intern
Excelerate
07.2023 - 09.2023
Application Developer Associate
Accenture
09.2022 - 07.2023
Master of Science - Information Systems
Saint Louis University
Advance Program - Data Science
IIIT Banglore
Bachelor of Science - Computer Science
Osmania University
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