Rakesh Dyavanapelli

Background

About Rakesh Dyavanapelli

Data Engineer with 5 years of experience building scalable data pipelines and analytics infrastructure on Google Cloud. I’ve designed and maintained multiple payment data pipelines that transform complex transactional data into reliable, analytics-ready datasets used for business insights and decision making.In my current role at GOC, I work across the full data lifecycle — from data ingestion and transformation to building data models and enabling data platforms that support reporting and analytics. My focus is on building robust, scalable ETL systems and efficient data architectures that help teams trust and use their data effectively.My core technical stack includes Python, SQL, Spark, BigQuery, Airflow, and Google Cloud Platform, with hands-on experience designing ETL pipelines, data warehouses, and analytics infrastructure.I’m particularly interested in solving problems around scalable data pipelines, data platform architecture, and building reliable data foundations for analytics and decision making.Currently open to Data Engineer opportunities where I can contribute to building scalable and reliable data systems.