Sonu Sinha

Background

About Sonu Sinha

I’m a Data Engineer with a B.Tech in Computer Science, passionate about turning raw, complex data into meaningful, business-ready insights. I design and build scalable data solutions that optimize workflows, improve data reliability, and enable smarter decision-making. My toolkit includes Python, SQL, Airflow, AWS, Spark, and Hadoop, along with experience in ETL pipelines, data warehousing, cloud platforms (AWS & GCP), and real-time data processing. Whether it’s integrating diverse data sources, automating workflows, or ensuring data quality, I enjoy solving technical challenges that directly impact business outcomes. I thrive at the intersection of data engineering and analytics, bridging the gap between raw data and actionable intelligence. I’m constantly exploring new technologies, ensuring I stay ahead in the fast-evolving world of big data and cloud solutions. Problems I Solve Building and optimizing ETL pipelines for efficiency and scalability Designing robust data models and warehouses for analytics Integrating cloud-based and on-premise data systems Automating workflows to save time and reduce errors Open to: Entry-level Data Engineering roles, analytics-focused projects, and collaborations where I can learn, contribute, and grow alongside passionate teams. Let’s connect and create data solutions that make a difference!