About

Aditya Gadgil is a highly skilled software engineer with over 5 years of relevant experience in building highly scalable data pipelines for IIoT. Currently working at Siemens, Aditya is responsible for building data flow engines and timeseries infrastructure for Mindsphere, an IIoT platform that integrates factory devices seamlessly with the cloud, creating a digital twin of the factory. Aditya's expertise lies in Java 8, Spring Boot, Azure, Terraform, Spark, Amazon Athena, CI/CD, Redis, MySQL, Kafka, ETL, and Python. He has worked on several projects, including building a data flow engine that lets users create data flows using provisioned source, processor, and sink applications. Aditya worked on the core engine that creates multiple Spring Boot contexts and orchestrates the operation of the applications. He also built the necessary services and infrastructure that allow gateway devices to ingest huge amounts of timeseries data into the system, which is further ETL'd and made available to customers via streams, messages, alerts, bulk export, and REST. Aditya has experience working with several IaaS components, including AWS (EKS, EC2, SNS, SQS, DynamoDB, S3, Lambdas, Kinesis streams, Kinesis firehose, Athena, Glue, RDS aurora MySQL, Spark EMR) and Azure (AKS, ServiceBus, Eventhub, Eventgrid, Cosmos, ADX, Azure functions, Azure Data Factory). He is also proficient in using Kafka, RabbiMQ, Hazelcast, PostgresSQL, and KEDA. Aditya holds a Bachelor of Technology degree in Electronics Engineering from Walchand College of Engineering, a government-aided autonomous institute in Sangli, Maharashtra. He has previously worked at Siemens as an Associate Software Engineer and Graduate Trainee Engineer. Aditya is a highly motivated individual who enjoys working in a team environment and is always eager to learn new technologies. He has excellent communication skills and is known for his ability to work under pressure and deliver high-quality work within tight deadlines.