About

Aditya Parmar is an enthusiastic and goal-oriented Data Engineering Consultant at Accenture AI. He possesses technical proficiency in AWS, Hadoop Ecosystem Components, ETL, Data Analysis, Governance, and Data Warehousing Concepts. Aditya has exposure to Major Big Data Platforms and is a Hortonworks certified Developer. He is highly proficient in building Data pipelines, adhering to Data strategy principles, and performing critical data analysis. Aditya is proficient in refactoring, optimization, and performance of Data Pipelines, ETL. He has worked for a diverse range of clients, including BFS, Telecom, E-commerce, FMCG, etc. Aditya has solid management skills and has demonstrated proficiency in leading and mentoring individuals to maximize levels of productivity while forming cohesive team environments. Aditya has functional/technical knowledge in Hadoop Ecosystem, AWS, Orchestration, DWH & DB, Languages, and Tools & Project Management. He has worked on various projects, including Customer 360-degree model, where he aggregated customer data from different applications, cleaned it, and analyzed it to get a reasonable picture of customer information and preferences. Aditya was involved in the development of Data pipelines for a number of Data Vendors using Spark, AWS – S3, Redshift, and developed functionality to automate the data quality checks. He has also worked on optimization of existing Data pipelines. Aditya has worked for Tavant as a Data Engineer, where he was involved in the design and development of AWS hosted distributed compute analytic platform known as GDP (Grubhub Data Platform). He has also worked for Capgemini as a Hadoop Developer, where he was involved in the Data Lake Strategy project, which aimed to build a Data Lake by integrating the Data from various source systems into Hadoop Ecosystem for better performance and maintenance. Aditya has a Bachelor of Technology (B.Tech.) in Computer Science from SRM University and completed his Junior College from St. Xavier's College. He has relevant experience of 8.70 years and has a tech stack that includes Data Engineering, AWS, AI, SQL, Spark, ETL, Hadoop, RabbitMQ, MySQL, Python, Big Data, Apache Hive, Research Scientist, Data Warehouse, MapReduce, Scala, Cassandra, Jenkins, UI, HDFS, and MSSQL.