Shreyas Shinde

• Designed and implemented cloud architectures on AWS using Terraform, AWS CDK for secure, scalable deployments. • Built and maintained CI/CD pipelines with Jenkins, Git, and AWS CodePipeline • Created ETL workflows using AWS Glue, Step Functions, EventBridge, Lambda, integrating S3, RDS, Redshift for analytics. • Developed Azure Databricks pipelines with PySpark, Delta Lake, and SQL, connected to Data Factory and Synapse. Delivered GCP pipeline PoC for automated ETL of structured and unstructured data.

• Migrated MATLAB-based analytics to AWS, improving computation speed and scalability for drivetrain time-series analysis. • Automated ETL pipelines using PySpark on AWS EMR, orchestrated with Step Functions, and data stored in S3 (Parquet format). • Implemented data cleansing and anomaly detection using statistical methods and machine learning (Isolation Forest, SVM). • Created interactive dashboards in Tableau for performance and anomaly visualization, supporting data-driven insights.