Bhanu Sharma Email and Phone Number

I design and develop data-driven solutions that support global marketing, sales, and medical affairs teams. I’ve built and optimized scalable ETL workflows using Airflow, developed dbt models for transforming raw data, and leveraged Snowflake and Databricks to improve query performance and streamline data processing. My work has resulted in a 20% improvement in decision-making speed and a 30% boost in pipeline efficiency, while automating key data publishing processes to reduce manual work by 25%. Additionally, I collaborate closely with business and IT teams to ensure solutions align with enterprise goals and deliver actionable insights.

As a Data Engineer at Airbnb, my role revolves around managing large-scale data effectively. I specialize in optimizing queries, engineering database features, and proficiently developing complex SQL scripts from scratch. My expertise includes designing robust database structures and implementing efficient indexes.I serve as a hands-on MS SQL Server Database Developer, working seamlessly across relational and multidimensional database platforms. Utilizing tools like Hadoop, Impala, Hive, NiFi, Spark, Athena, Redshift, Elasticsearch, and Airflow, I contribute to the development and maintenance of data-driven solutions in a production environment.My responsibilities extend to designing and implementing distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other Hadoop ecosystem tools. This involves a solid grasp of Linux, shell utilities, and Git/GitHub, with practical experience in Databricks and other Spark environments, ensuring the effective management of Parquet columnar files and non-relational JSON files with a focus on scalability.I actively contribute to the development and maintenance of complex SQL scripts for data analysis and extraction. Additionally, I play a role in orchestrating cloud environments, utilizing automation tools, and establishing CI/CD pipelines. My approach reflects a professional and comprehensive perspective on data engineering at Airbnb.

As a Data Engineer at Moderna (2019-2020), I contributed to the development of scalable data systems that supported vaccine research and clinical trials. I designed and optimized 10+ automated ETL pipelines, integrated over 50 datasets into cloud platforms like AWS and Google BigQuery, and managed more than 100TB of data to ensure real-time access for research teams. My work improved data quality by 40% through automated validation processes, while also creating interactive dashboards that streamlined reporting for COVID-19 vaccine trials. This experience allowed me to work at the forefront of groundbreaking biomedical research and data engineering.