Payal Pitale

I am an experienced Data Engineer with over 4 years of expertise in designing and optimizing data infrastructure and ETL pipelines. My proficiency in tools such as Python, SQL, Snowflake, Databricks, and AWS/Azure has enabled me to build scalable data solutions that streamline workflows and support analytics and business intelligence needs. I have successfully migrated legacy systems to serverless architectures on AWS, achieving significant cost savings and enhanced performance.

At VIS Technologies, I spearheaded the design and implementation of an end-to-end ETL pipeline that processes over 100 GB of data monthly, enabling real-time reporting and analytics. My work has involved automating data extraction, developing DBT models for data transformations, and deploying containerized solutions using Docker and Azure Kubernetes Service. I am committed to ensuring data accessibility, pipeline reliability, and efficient data processing, which has led to improved data quality and performance visibility.