Ajay B.

Background

About Ajay B.

With over 6 years of experience and 5 years specializing in data domain, I have a proven track record of building and optimizing data solutions that drive business impact. My expertise spans Python scripting for data validation, transformation, and automation, utilizing libraries like pandas, NumPy, and other data processing frameworks to ensure efficiency and accuracy. I have extensive experience in designing and implementing scalable data pipelines using Snowflake, Snowpark, Matillion, Airflow, etc. ensuring seamless data integration and high-performance processing. With a strong foundation in data modeling, ingestion, and orchestration, I focus on optimizing ETL/ELT processes, automating workflows, and enhancing data quality assurance to improve efficiency and reliability. I am adept at handling large-scale datasets with millions of data rows, ensuring data consistency and streamlined workflows for business success. Beyond data engineering, I have experience supporting BI tools like Tableau and Domo, ensuring clean, structured, and accessible data for better decision-making. My ability to collaborate with cross-functional teams and thrive in Agile environments allows me to drive innovative, data-driven solutions aligned with business goals.