Surendra Sah

Created data pipelines to ingest data with Azure Data Factory, transforming and optimizing data in Azure Databricks, and delivering business insights through Power BI dashboards and reports. Developed a reasoner data pipeline to process 20+ Ontology and RDF files, generating 100k+ inferred relationships.

Implemented data pipelines to onboard real estate data to databases (MSSQL, PostgreSQL) using Python, SQL, Airflow, and Azure cloud services.

Designed and implemented 15+ data pipelines for e-commerce using Python and ETL tools (Informatica, Pentaho), loaded data to DWH (Exasol, BigQuery), and scheduled by Airflow. Migrated on-premise DWH to a data lake on BigQuery and AWS (S3).

Designed end-to-end data solutions to store sensor data (IoT) on Azure and performed predictive maintenance of machines.

Replayed real-world test drive traces in the CARLA simulator, comparing distance and time for parking scenarios.

Improved the performance of 3D data visualization of Lidar data points using C++.

Automated job/process failures using CRUD operations on various databases like Oracle, MySQL, and DB2 with Python and bash scripts.

Pursued a Master of Science in Automotive Software Engineering, focusing on software development for automotive systems.

Completed a Bachelor of Engineering in Computer Science and Engineering, covering core computer science topics and engineering principles.