About

Aditya Sisodiya is a highly motivated and skilled Business Technology Solutions Associate at ZS with a passion for data science and leadership. With excellent problem-solving skills and the ability to quickly establish rapport with people from diverse backgrounds, Aditya has developed a strong skill set in data engineering, management consulting, and big data. Aditya's current role at ZS Associates involves working as a Solution Delivery Associate within their Market Access Team. He has gained in-depth knowledge and hands-on experience in dealing with Apache Hadoop components like HDFS, MapReduce, HiveQL, Hive, Impala, and Sqoop. Additionally, Aditya has expertise in PySpark, Spark SQL, Spark tuning, and Apache Spark Architecture. He has experience in designing and creating Hive external and internal tables using dynamic partitioning and buckets. Aditya's skills also include version controlling using Git and Azure DevOps, code migration activities, and using Autosys for scheduling, monitoring, and reporting of jobs. He has worked on Snowflake, Teradata, and Informatica and has experience with the Agile working model and JIRA. Aditya has also gained experience in dimensional confirming, partitioning, bucketing, and DQM of onboarded data over data lake for effective business utilization. Aditya is skilled in understanding of different file formats and data compression techniques for effective data storage. He has created scripts and designed AutoSys Job pipelines for future data refresh based on data arrival frequencies over AWS S3. Aditya has experience in mapping business insights based on time, demographic, market, and many other grains to develop facts, dimensions, and final metrics so as to create a data warehouse for business analytics. Aditya has a Bachelor of Engineering degree in Electronics and Telecommunications Engineering from Pune Institute of Computer Technology. He has experience in onshore-offshore working models and has handled operations teams, fetching relevant business insights from clients and corresponding analytics. Aditya's technical skills include AWS, Spark, Python, Hadoop, Big Data, SQL, Data Engineering, Snowflake, HDFS, DevOps, Azure, MapReduce, Apache Hive, Data Warehouse, Data Scientist, infra, Pandas, Jupyter, Research Scientist, MySQL, ETL, and Backend. With 2.86 years of relevant experience, Aditya is a valuable asset to any team.