About

Pankaj Sharma is a Senior Data Engineer at Intuit with over 7 years of relevant experience in Cloud and Big Data Engineering. He has a broad knowledge base of Data Integration, transformation, wrangling, modeling, and orchestration. Pankaj has designed logical data models and developed performant data pipelines. He is an analytical and detail-oriented Data Engineer with expertise in performing data analysis and profiling using structured queries and Python for producing insights. He has participated in Requirement gathering and Design workshops with business stakeholders. Pankaj has extensive experience in Dimensional Modeling and Data warehousing. He has led a team for end-to-end implementation of cloud-based Data warehouse in Redshift. He has a sound knowledge of the Big Data stack: Hadoop MapReduce, Hive, Apache Spark using PySpark. He has extensive hands-on experience in data warehousing projects using Informatica PowerCenter 9.x/10.x. Pankaj is an AWS Certified Solution Architect with sound knowledge and experience of AWS Cloud Services:- Redshift, Redshift Spectrum, Athena, RDS, EC2, S3, Lambda, SNS, SQS, EMR, SES, Lambda, ELB, EKS, ECR. He has experience in CI/CD pipeline using AWS CodeCommit, CodeBuild and Code Pipeline and Azure DevOps. Pankaj has sound knowledge of designing, developing and deploying microservices on Kubernetes cluster. He is striving to get better at his skills and is interested in growing and developing with data, solving business problems, and creating impact. Pankaj has worked with leading Health Care and Banking clients and facilitated modern data platforms and New-Gen Analytics solutions. Prior to joining Intuit, he worked as a Senior Data Engineer with ZS Associates. Pankaj holds a Bachelor of Technology (B.Tech.) in Electronics and Communication from Guru Gobind Singh Indraprastha University and has completed professional training in Java SE and Java EE. His tech stack includes AWS, Data Engineering, Software Engineer, Senior Software Engineer, Big Data, SQL, Python, Spark, Amazon Athena, Data Warehouse, MapReduce, CI/CD, Kubernetes, Hadoop, Microservices, DevOps, Azure, Integration, and Java.