About

Mayur Makhija is a skilled Data Engineer with over 4 years of experience in the Big Data realm. He is currently working at adidas as a Data Engineer, where he has been responsible for building solutions on Python, Apache Spark, and SQL to solve complex data problems. Mayur is a Databricks Certified Spark Developer and has a strong understanding of data engineering concepts. Mayur started his career as an Excel VBA developer at adidas, where he developed tools to automate the generation of Excel and PowerPoint-based reports. He fetched data from online portals, performed the required transformations, and loaded the data onto the back-end sheets of Excel reports and PowerPoint charts. This greatly reduced the man-hours required for populating reports, at times from 32 hours to 20 minutes. As the volume of data increased, he moved on from VBA to Spark and developed entire frameworks around highly scalable PySpark code. Mayur's technical skills include Spark, Big Data, SQL, Python, HDFS, Pandas, ETL, Backend, Apache Hive, and Web. He has also worked as a Business Technology Associate Consultant at ZS Associates and as a Technical Intern at UPS, where he developed a web portal for the company. Mayur has a Bachelor's degree in Information Technology from VIT, where he honed his skills in data engineering. He has effective interpersonal written and verbal communication skills and has recently started assuming an elevated role in the projects he is involved in, managing client discussions around requirement gathering, leading brainstorming sessions with technical architects, and being responsible for key decisions around the solution being implemented. He has also successfully managed and mentored a team, which has honed his skills as a leader. Overall, Mayur is a highly skilled data engineer with a strong technical background and excellent communication skills. He is passionate about building solutions that solve complex data problems and has a proven track record of delivering high-quality work.