Sreelekha Onteddu
@sreelekhaonteddu
Dedicated Data Engineer with expertise in optimizing data pipelines.
What I'm looking for
I am a dedicated Data Engineer with a strong background in designing, building, and optimizing data pipelines to support scalable analytics and business intelligence solutions. My expertise lies in SQL, Python, and Azure SQL Database, where I have successfully reduced data processing time by 30% and improved query performance by 25%. I am passionate about leveraging data engineering best practices to drive operational excellence and enable data-driven decision-making.
Throughout my career, I have collaborated with cross-functional teams in Agile environments, utilizing tools such as JIRA and Confluence to deliver robust data infrastructure. My experience includes developing interactive dashboards with Power BI and Tableau, which have significantly increased user engagement and supported data-driven decisions. I am committed to continuous improvement and innovation in the field of data engineering, particularly in industries such as healthcare and finance.
Experience
Work history, roles, and key accomplishments
Data Analytics & Machine Learning Fellow Trainee
ElevateMe
Mar 2025 - Present (4 months)
Designed and implemented ETL pipelines using Python and Azure SQL Database, integrating data from multiple sources to support real-time analytics, reducing data latency by 20%. Deployed data workflows on Microsoft Azure, leveraging Azure ML for scalable processing, improving pipeline efficiency by 15% and enabling seamless model integration.
Data Engineer
SystechCorp
Aug 2024 - Present (11 months)
Built and maintained scalable data pipelines using Python and ETL tools, integrating disparate data sources and reducing processing time by 30% for business reporting. Optimized SQL queries in Azure SQL Database, improving query execution speed by 25% and cutting report generation time by 20%.
Graduate Teaching Assistant
University of North Texas
Aug 2023 - Present (1 year 11 months)
Created SQL-based data extraction scripts for course projects, optimizing database queries to improve retrieval efficiency by 15% for student analytics tasks. Developed Python scripts to preprocess and structure e-commerce datasets, enhancing data usability by 10% for teaching demonstrations.
Associate Software Engineer
Legato Health Technology
Jul 2022 - Present (3 years)
Automated SQL data extraction pipelines, reducing processing time by 30% and ensuring high accuracy for healthcare analytics. Designed logical data models using Erwin, optimizing database structures and improving query performance by 15% for reporting applications.
Associate Software Engineer
Virtusa
Jan 2022 - Present (3 years 6 months)
Designed and implemented RESTful APIs using Python for data integration, reducing data access time by 20% and enabling seamless reporting workflows. Optimized SQL queries for backend data pipelines, improving performance by 20% and supporting faster business insights.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Computer Science
Completed a Master of Science in Computer Science, focusing on advanced topics in the field. Gained expertise in various aspects of computer science, preparing for a career in data engineering.
BV Raju Institute of Technology
Bachelor of Technology, Computer Science
Obtained a Bachelor of Technology in Computer Science, building a strong foundation in programming and computational principles. Developed core skills essential for software and data-related roles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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