About

Megha Maheshwari is a highly skilled and experienced Senior Data Engineer with over 8 years of experience in the field. She possesses strong leadership skills and a proven track record of delivering successful projects. Megha is proficient in ETL, PySpark, Python, AWS, SQL, and other related technologies. Currently working as a Senior Data Engineer at Farfetch, Megha is responsible for designing and developing multiple enterprise-level analytical and ETL solutions in the healthcare and pharmaceutical domain. She has extensive experience in integrating multiple data sources to existing and new data pipelines. Megha has also worked on building REST API layers using Flask framework for web applications managing critical business KPIs. In her previous roles, Megha worked as a Data Engineer at Chegg, where she was responsible for re-designing and developing a data pipeline using AWS cloud architecture and other big data technologies for processing over 100 GB of data on a regular basis. She also built a Common Data Model Converter that consumed data in various formats and schemas to produce well-structured data for consumption by other applications. Megha also worked as an Associate Consultant at ZS Associates, where she designed and developed multiple enterprise-level analytical and ETL solutions in the healthcare and pharmaceutical domain. She worked with client teams to model their data landscape, obtain data extracts, and define secure data exchange approaches. Megha holds a Bachelor of Technology degree in Computer Science from GL Bajaj Institute of Technology & Management. She has expertise in data engineering, AWS, SQL, ETL, Python, big data, Spark, data warehousing, Flask, backend, web, senior software engineering, Databricks, Terraform, Amazon Athena, and Apache Hive. Overall, Megha has 8.7 years of relevant experience in the field and is a highly skilled and results-oriented data engineer with strong leadership skills.