Sushant Koul

Sushant Koul: Passionate Data Engineer

With over five years of experience in the IT industry, I am a dedicated Data Engineer with a strong foundation in data engineering tools and technologies. My expertise lies in designing and developing systems for Azure Lakehouse, ETL processes, business intelligence, and data ingestion pipelines for AI/ML use cases.

Professional Highlights:

Data Engineering Expertise:Proficient in creating and supporting ETL pipelines and table schemas on Databricks, ensuring data governance and privacy standards.
Database Knowledge:Advanced working knowledge of SQL and NoSQL databases, including SQL Server, Neo4J, Elastic, and Cosmos.
Technical Skills:Highly skilled in Spark, Python, and SQL, with a successful history of manipulating and processing large datasets.
Team Collaboration: Experience working with Data Engineering, Data Analytics, and Machine Learning teams on complex projects.

Key Projects:

Toronto Pearson:Led an ETL project using Azure Databricks, Synapse Analytics, Python, SQL, and Data Lake. This project aimed to provide comprehensive data support, improving airport operations and enhancing the customer experience.
BNP Paribas:Managed the ETL process for the data of traders and bank users using SQL. This involved extracting, transforming, and loading vast amounts of financial data, ensuring accuracy and compliance with regulatory standards.
Apollo Global Management: Developed SQL database projects, integrated ServiceNow API instances, and utilized PowerBI for enhanced data analytics capabilities, contributing to more informed investment decisions.