Data Engineer Integration

Kanva Koushik Gopavarapu

Lubbock, Texas

************.**********@*******.*** +1-407-***-**** Professional Website LinkedIn Education

Texas Tech University Lubbock, Texas

Master’s in Computer Science. 3.58 GPA 2021–2023

Hindustan Institute of Technology and Science Chennai, India Bachelor’s in Technology. 8.9 CGPA 2017–2021

Experience

Benecias, Project: Advanced Data Analytic Platform Cranbury, NJ Data Engineer May 2024– Present

– Designed and implemented scalable data pipelines using AWS Big Data tools, improving data integration and reducing costs by 20%.

– Conducted predictive analytics on historical data using Python, AWS SageMaker, and Azure, improving forecasting accuracy by 25%.

– Automated workflows with AWS Lambda and Glue, reducing manual interventions by 40%.

– Created dynamic dashboards with Power B for stakeholders, reducing decision latency by 30%.

– Improved database query performance by 40% through optimized star schema data models.

– Implemented robust error-handling mechanisms in ETL processes, increasing data pipeline reliability.

– Utilized Smartsheet and other project management tools to track project timelines and deliverables, ensuring on-time completion.

– Assisted in the migration of on-premise data systems to cloud-based environments using AWS Redshift and S3. Texas Tech University, Data Integration and Development Lubbock, TX Graduate Assistant Jun 2023–Dec 2023

– Developed and debugged APIs to streamline cross-platform data exchanges, reducing errors by 50%.

– Optimized SQL queries, improved data processing speeds by 30% and improved analytical precision.

– Engineered ETL workflows to automate data integration, improving operational efficiency by 40%.

– Enhanced the performance of existing data pipelines by implementing modular code in Python, increasing main- tainability and scalability.

– Provided technical support for data-related issues, ensuring smooth operations for faculty and students. Triad Techno Services, Image Classification Hyderabad, India Software Developer May 2021–Dec 2021

– Designed a CNN-based image classification service, achieving 95% accuracy for real-time predictions.

– Integrated REST APIs for real-time data processing, enhancing interoperability.

– Developed backend systems using .NET Core, increasing system reliability by 15%.

– Conducted thorough testing and debugging of image processing algorithms, ensuring accuracy and stability. Mad Soft Technology Hyderabad, India

Intern Oct 2020–Dec 2020

– Gained hands-on experience in C programming and Python for developing scalable solutions.

– Worked on foundational database design and development, improving query performance and storage optimization.

– Implemented and debugged algorithms for database-driven applications. Technical Skills

Tools: Python, Java, C Programming, SQL, Tableau, Redshift, Quick Sight, TensorFlow, Pytorch, MS Excel, Hadoop, Spring boot, Snowflake, Smartsheet, Hive, Spark, AWS, sci-kit-learn, Azure, Databricks, Postman. Techniques: Data Analysis, Statistical Analysis, Machine Learning, Front end, Embedding Models, LLMs, Predictive Modelling, Regression A/B Testing, Data Visualization, ETL Pipelines, API Development. Certifications

AWS Certified Solutions Architect Associate Oct 2024 Python for Data Science and Machine Learning Bootcamp - Udemy Feb 2024 Google Data Analytics Professional - Coursera Oct 2023

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