As an Application Engineer, I designed and delivered scalable data and analytics solutions for banking, marketing, and financial domains. My responsibilities included developing robust ETL pipelines, building analytics-ready data models, optimizing SQL queries, and implementing efficient data transformation workflows using Python, SQL, dbt, Snowflake, BigQuery, and Looker.

I collaborated closely with product managers, business analysts, and engineering teams to translate business requirements into reliable technical solutions. I led the development of modular data models, implemented automated data quality checks, optimized pipeline performance, and supported the deployment and maintenance of production systems. I also contributed to technical documentation, code reviews, troubleshooting, and continuous improvements, ensuring scalable, maintainable, and high-quality data solutions.

As an Associate Application Engineer, I worked on designing, developing, and maintaining data-driven solutions for banking, marketing, and financial projects. My responsibilities included building and optimizing ETL pipelines, developing scalable data models, writing complex SQL queries, and transforming raw data into analytics-ready datasets using technologies such as Python, dbt, Snowflake, BigQuery, Azure Data Factory (ADF), and Looker.

I collaborated with cross-functional teams to understand business requirements, implement data transformation logic, improve query performance, ensure data quality through validation and testing, and support reporting and business intelligence initiatives. I also contributed to documentation, troubleshooting, production support, and the continuous improvement of data workflows, delivering reliable and scalable solutions that enabled informed business decision-making.