Ayush Gawai — Data Engineer

I am a Data Engineer and M.S. Data Science student at San Jose State University with 4 years of professional experience designing and scaling data solutions across cloud platforms and big data environments. My expertise spans ETL pipeline design, data warehousing, SQL optimization, and large-scale analytics using tools like AWS, Snowflake, Databricks, Spark, DBT, and Airflow. I have built and automated data pipelines that process millions of records, migrated enterprise-scale systems to the cloud, and developed real-time monitoring and reporting solutions to enable business-critical insights. I am also skilled in machine learning, predictive analytics, and A/B testing, applying them to projects ranging from IoT anomaly detection to customer behavior analysis and sentiment dashboards. Beyond engineering, I enjoy building intuitive BI dashboards with Tableau, Power BI, and QuickSight, bridging the gap between raw data and decision-making. Recognized as a Global Spartan Scholarship Awardee, I bring strong communication, leadership, and collaboration skills developed through both industry and student leadership roles. I am passionate about solving complex data problems, enabling teams with reliable and scalable infrastructure, and leveraging data to drive meaningful business impact. 📌 Core Skills: Python, SQL, AWS, Azure, Databricks, Spark, Snowflake, DBT, Airflow, Matillion, Hadoop, Tableau, Power BI, Data Lakes, Data Warehousing, ETL Pipelines, Predictive Analytics, Machine Learning

Stackforce AI infers this person is a Data Engineer with expertise in cloud data solutions and analytics.

Location: San Jose, California, United States

Experience: 0 mo