Sneha Gopinath
Senior Python Developer @Gallup
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WORK HISTORY
Senior Python Developer @Gallup
Omaha, NE, US
Key Achievements:• Architected and optimized Python-based solutions for predictive analytics.• Developed scalable data pipelines with AWS, PySpark, and SQL, improving data processing efficiency.
EDUCATION
SBM Jain College
Science
University of North Carolina at Charlotte
Master's degree, Information Technology
JSS Academy Of Technical Education Karnataka
Bachelor's degree, Information Science And Engineering
ABOUT SNEHA GOPINATH
Senior Python Developer | Data Engineering | Big Data | Cloud Computing | Scalable Data PlatformsResults-driven Senior Python Developer with 6+ years of experience designing and building scalable, cloud-native data platforms and high-performance data pipelines. Strong background in Big Data processing, distributed systems, and analytics-driven applications that power business insights and client-facing products.Specialize in building end-to-end data solutions using Python, PySpark, AWS Glue, S3 with experience across batch and event-driven architectures. Comfortable owning systems from ingestion and transformation through analytics, optimization, and operational reliability. Key Expertise: Big Data Processing & Analytics – Designed and optimized large-scale data pipelines using PySpark, AWS Glue, SQL, and Athena for analytical and reporting workloads.Cloud & Serverless Architectures – Built cloud-native services using AWS (Lambda, S3, SQS) with a focus on scalability, fault tolerance, and cost efficiency. Data Platforms & Automation – Developed reusable data services, automation scripts, and orchestration workflows to improve reliability and developer productivity. Analytics & Insights Enablement – Delivered data foundations enabling predictive analytics, reporting, and BI, supporting business decision-making at scale. Passionate about building robust data platforms and intelligent systems that transform raw data into actionable insights. Enjoy collaborating with cross-functional teams to translate complex business problems into scalable technical solutions.
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