Manasa Chepuri
Data Engineer @Community Dreams Foundation
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WORK HISTORY
Data Engineer @Community Dreams Foundation
US
Engineered automated ETL pipelines on AWS using Python, SQL, and Airflow, consolidating scattered project data into centralized, analytics-ready repositories and improving decision-making efficiency- Optimized cross-team reporting through data modeling, orchestration, and Power BI dashboards, enabling real-time insights and reducing manual reporting cycles- Normalized, cleaned, and validated datasets using Python and SQL within AWS environments, significantly improving data reliability, performance metrics accuracy, and ML readiness- Implemented statistical and machine learning workflows in AWS SageMaker to analyze operational bottlenecks and recommend resource optimization strategies- Applied BDD (Behavior-Driven Development) to convert technical workflows into clear, visual scenarios, enhancing communication and collaboration with non-technical stakeholders- Developed automation scripts and API-driven tools to reduce repetitive tasks and streamline data operations across teams.
EDUCATION
Texas Tech University
Master's degree, Computer Science
Malla Reddy College of Engineering & Technology
Bachelor of Science, Computer Science
ABOUT MANASA CHEPURI
Data Engineer with 3+ years of experience designing scalable, cloud-native data systems and building AI-powered analytics solutions that deliver real-time, actionable insights. Skilled in AWS, Python, SQL, Spark, FastAPI, Power BI, ETL pipelines, and LLM-based applications, with hands-on experience integrating machine learning and AI workflows into production systems.I specialize in creating automated pipelines, predictive models, and LLM-driven workflows that optimize operations, improve decision-making, and streamline cross-team collaboration. Experienced in building real-time, scalable pipelines on AWS, deploying ML models on SageMaker, and leveraging LLMs for automation, analytics, and advanced data-driven applications.Passionate about transforming raw data into insights using cloud infrastructure, AI/ML, and LLM technologies, delivering measurable results, and driving innovation. Open to roles in Data Engineering, AI/ML Engineering, Cloud Engineering, and LLM-powered application development, where I can combine data, software, and AI expertise to create impactful solutions.
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