Venkata Nageswara Rao Thota
Full Stack Developer
About
Computer Science graduate with hands-on experience in full-stack software development, data engineering, ETL pipelines, Databricks, PySpark, SQL, Apache Spark, and AWS. Experienced in building centralized data platforms using Medallion Architecture, developing data ingestion and transformation workflows, creating analytics dashboards, and automating recurring data pipelines. Also experienced in building full-stack applications using React.js, Node.js, Express.js, MongoDB, REST APIs, and Socket.IO.
Skills & Expertise (34)
Work Experience
Full-Stack Developer
One Stop Cinema
Present - Present
Developed a full-stack casting platform providing a centralized space for casting agencies to post opportunities, discover talent, and manage casting requirements. Built REST APIs for user management, job postings, talent profiles, and core platform functionality using Node.js and Express.js with MongoDB for data storage. Implemented JWT authentication and role-based access control and integrated resume uploads using Amazon S3 for cloud-based file storage. Implemented Socket.IO real-time communication between talent and agencies and designed a modular, microservice-inspired backend architecture. Deployed the backend on AWS EC2 and hosted the frontend using Amazon S3 and CloudFront, gaining hands-on experience with cloud deployment and application hosting.
Data Engineer
Atlikon
Present - Present
Developed an end-to-end data engineering solution to consolidate data from Atlikon and Sports Bar, standardizing data from different sources into reliable datasets for analytics and business decision-making. Designed and implemented a complete ETL pipeline using Databricks, Apache Spark, PySpark, and SQL, with Amazon S3 as the cloud storage layer and a Bronze, Silver, and Gold Medallion Architecture. Implemented data ingestion, cleaning, transformation, standardization, validation, filtering, joining, and aggregation workflows to produce curated business-ready datasets. Built BI dashboards using curated datasets and implemented Databricks Genie to provide interactive querying and exploration of prepared business data. Automated recurring pipeline execution through a scheduled nightly job, enabling consistent daily processing and refresh of the analytical datasets without manual execution.
Education
B.Tech. Computer Science - Vellore Institute of Technology
2022 - 2026 · Afghanistan
12th (State) – PCM - Aditya Junior College
2020 - 2022 · Afghanistan
Certifications
AWS Certified Cloud Practitioner
· 2025
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Skills (34)
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