Tharun Sai

About Tharun Sai

As a visionary and results-oriented Technical Data Engineer with over 9 years of experience, I have a proven track record in driving innovation and excellence in data engineering, business intelligence, data warehousing, and analytics. My expertise spans across a wide array of Azure services, including Azure Data Lake, Azure SQL Database, Azure Data Factory, Azure Databricks, and more, enabling me to deliver scalable and efficient data solutions. I bring extensive hands-on experience with Big Data technologies such as Hadoop, Spark, and PySpark, and possess a deep understanding of Spark Architecture and SQL. My proficiency in database normalization, data modeling, and ETL/ELT processes has consistently delivered robust and reliable data environments that support strategic business decisions. Throughout my career, I have successfully built and optimized data pipelines to ensure seamless data flow and integration, migrated SQL databases to cloud platforms like Azure, developed Spark applications for complex data transformations, and implemented comprehensive data warehousing solutions using star and snowflake schemas. My expertise in Agile and Waterfall methodologies ensures that projects are delivered on time and to specification. Beyond my technical capabilities, I am passionate about mentoring and leading high-performing teams, fostering collaboration, and driving continuous improvement. My strong problem-solving abilities, combined with my enthusiasm for learning and my business acumen, enable me to bridge the gap between technical teams and business stakeholders effectively. I am committed to leveraging my diverse skill set to deliver data-driven solutions that empower organizations to make informed decisions, optimize operations, and achieve their strategic goals.

Experience

1. Senior Azure Data Engineer

   Best Buy

   Aug 2022 — Present · Richfield, MN, US

   Implemented scalable data solutions on Azure, utilizing services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.• Utilized Azure Databricks for collaborative development of data engineering solutions, enhancing team productivity and efficiency.• Developed Spark applications using PySpark and Spark SQL for data extraction, transformation, and aggregation, uncovering insights into customer usage patterns.• Architected and optimized Snowflake environments for high-performance querying, partitioning, and efficient data warehousing to support complex analytical queries.• Developed Airflow DAGs to schedule, monitor, and manage ETL jobs, ensuring the timely and efficient execution of data processes.• Integrated Azure Data Factory and Snowflake with Power BI to provide stakeholders with real-time dashboards and reports for business insights.

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech