About

Digvijaysinh Jadeja is a skilled Software Development Engineer with a strong background in Data Platform and Microservices. He is currently working at Exchange Solutions where he is helping organizations globally with data-related problems. Digvijaysinh has built a strong foundation in designing and deploying large-scale distributed data processing systems and integrating them with cloud technologies such as AWS, MS SQL Server, and Azure. He is experienced in performing Extract, Transform and Load operations and data transformation using open-source and cloud-based tools like AWS Glue, Azure Data Factory, and Apache Hive. Digvijaysinh has a Master of Science in Analytics from HEC Montreal and a Bachelor of Technology in Computer Engineering from Nirma University, Ahmedabad, Gujarat, India. He has a diverse skill set that includes AWS, Microservices, Snowflake, SQL, ETL, CI/CD, Jenkins, DevOps, Kafka, Python, Big Data, Hadoop, Spark, Docker, MySQL, and more. In his current role, he is collaborating across three product teams to build streaming and batch data pipelines that are cost-efficient and scalable. He is designing AWS Data Pipeline for streaming data using AWS Kinesis Analytics, Sage maker, and Feature Store. He is also building batch pipelines for ingestion of S3 data to DynamoDB using PubSub architecture using AWS Lambda and Kinesis data stream. In his previous role at Bow River Solutions, he ensured continuous provisioning of cleaned structured data for machine learning production systems. He built architecture for batch and stream processing using the Azure stack involving SQL server, Blob storage, Azure analysis service, Azure data factory, Azure data lake, and Cosmos DB. He developed CI/CD pipelines using Jenkins, Docker, MySQL, and bash scripts in collaboration with the automation team. Digvijaysinh is a Data Science Bootcamp Instructor at Southern Alberta Institute of Technology (SAIT), where he trains students to use Python tools like numpy, pandas, and matplotlib for performing statistical operations and data analysis. He also teaches stats and machine learning algorithms like Hypothesis testing, Linear and Logistic regression, Support vector machine, Naïve Bayes, Decision Tree, and XGBoost. Overall, Digvijaysinh has 4.69 years of relevant experience and is highly skilled in data engineering, data analysis, machine learning, and DevOps. He is passionate about ensuring best software engineering practices across the entire backend architecture and is constantly improving his skills to stay up-to