ABHINAV LOHANI

Designed and Implemented Scalable Data Pipelines: Collaborated with data users and internal teams to design and implement scalable data pipelines for ingesting data from private and public clouds into Azure. Utilized Azure Data Factory and Synapse Studio to ensure optimal performance and reliability. Ensured Data Quality and Reliability: Implemented robust measures to ensure data quality and reliability in Azure SQL. Conducted troubleshooting to identify and resolve data quality issues in real-time. Transposed Complex Business Requirements: Successfully transposed complex business and analytics requirements into high-quality data assets. Utilized Python for hands-on development, focusing on simplicity, reusability, performance, and maintainability. Collaborated with Cross-functional Teams: Worked closely with solution engineers, data scientists, and product owners to deliver end-to-end products. Actively participated in discussions to understand and implement predictive analysis using the strategic platform Foundry. Technical Proficiency: Demonstrated proficiency in Azure services, Python programming, and distributed computing frameworks. Extensive experience with Azure Data Factory, Synapse Studio, and PySpark for efficient data processing.

Successfully completed FP Generic, MS stream training, & Re-skill training at infosys with 74%. Trained upon various Big Data Cloud technologies like Python, SQL, Microsoft Azure & Power BI. Successfully completed seven Microsoft certifcates.