About

Dipali Jaiswal is an experienced Data Engineer with over 7 years of relevant experience in the information technology and services industry. Currently working at Amazon as a Data Engineer, she is skilled in AWS services, SQL, Power BI, Tableau, MSBI, Python Scripting, Middleware, Extract, Transform, Load (ETL), AWS Redshift, Glue, EMR, Lambda, S3, among others. Prior to her current role, Dipali has worked with Microsoft as a Business Intelligence Developer, where she developed dynamic and optimized data pipelines to load data from DataLake to Cosmos DB using Azure Data Factory. She also led the design and development of insightful KPIs and metrics while creating complex Dax formulas and Power Query in Power Bi. Dipali has also worked with FICO as a Solution Integration Consultant, where she designed and developed ETL using In-memory OLTP, a fully developed in-memory solution provided by Microsoft instead of traditional tools, which improved performance by 30-40%. She also created various data visualizations based on business users' requirements in Tableau and participated in SIT, UAT, Go-Live, and trained customers in understanding ETL processes and reports. Dipali has a Bachelor of Technology (B.Tech.) degree in Electrical Engineering from JSS Academy of Technical Education, Noida, and has a demonstrated proficiency in data engineering, AWS, SQL, ETL, Python, Azure, and integration. She is a team player and has collaborated in requirement meetings and data mappings to understand business rules with stakeholders. Dipali is a problem solver and has troubleshooted and resolved bugs/incidents. She is a quick learner and has developed complex nested queries in Azure Data Explorer (Kusto) while learning it on the job to meet business needs. Overall, Dipali is a highly skilled and experienced Data Engineer with a strong technical background and a proven track record of delivering successful projects.