About

Jinal Mehta is a highly skilled Data Engineer with over 6 years of experience in the field. She is currently working at Amazon Web Services (AWS) as a Data Engineer where she is responsible for implementing and supporting reporting and analytics infrastructure for internal business customers using AWS services such as Athena, Redshift, Spectrum, EMR, and QuickSight. Jinal is proficient in cloud services such as Amazon Redshift, Amazon S3, AWS Glue, AWS Lambda, AWS EC2, and AWS Quicksight. She is also proficient in SQL, Advanced Excel, Python, R, Tableau Developer, and Tableau Admin. Jinal has a Master's degree in Information Systems and Decision Sciences- Business Analytics from Cal State Fullerton, College of Business and Economics. She also has a Bachelor's degree in Computer Engineering from the University of Mumbai and a Diploma in Computer Engineering from Shri Bhagubhai Mafatlal Polytechnic. Jinal has experience working with database tools such as Microsoft SQL Server, MS Access, Oracle, and PostgreSQL. She is also proficient in programming languages such as Python, R, MS SQL, PL/SQL, and Java. Jinal has a keen interest in data engineering, ETL and/ ELT process, data cleaning and transformation, data quality check and/audits, data modeling, data warehousing, data visualization, and report generation. She is skilled in machine learning algorithms such as MLR, KNN, CART, Logistic Regression, Random Forest, and Decision Tree. Additionally, Jinal has experience working with BI /Reporting Tools such as RStudio, Jupyter, MS Visio, Google Analytics, Google AdWords, Confluence, TFS, Slack, MS PowerPoint, Notepad++, and Eclipse. She is also familiar with SDLC Methodologies such as Scaled Agile Framework, Waterfall, Agile, and Kanban lean. Jinal has previously worked as a Data Analyst at HRC Fertility where she performed data extraction, profiling, mapping, consolidation, and validation from EMR to internal MDM database. She also performed data transformation, cleansing, and EDA using Python to generate a base file for analyzing data. Jinal created and interpreted statistical reports, generated dashboards, reports, and presentations evaluating various metrics/KPI, along with recommendations for future improvement. Jinal possesses a diverse tech stack, including Data Engineering, AWS, SQL, Web, Python, Jupyter, Random Forest, Seab