Manikandan is a skilled Data Engineer and Full-Stack developer with over 6 years of experience. He excels in creating robust web applications using Python, Django, and FastAPI, while also integrating third-party applications and managing databases. His expertise extends to cloud platforms like Azure and AWS, where he collaborates with Data Science teams to derive insights from raw data.
Developed and maintained scalable ETL pipelines using Azure Data Factory, Python, Apache Spark, and Databricks.
Streamlined software delivery pipelines using Azure DevOps CI/CD, enhancing efficiency and quality.
Engineered a real-time IoT data acquisition system utilizing Azure IoT Hub for smart building solutions.
Designed robust database structures for multiple relational and NoSQL databases, including MySQL and PostgreSQL.
Overview: Developed a unified voice interface (ReVI) that seamlessly integrates with Revcord products. Responsibilities: Leveraged Oracle's ETL pipeline to enhance Revcord's suite of products using the Whisper Speech Engine. Integrated data seamlessly across platforms including Data Integration, Object Storage, Autonomous Data Warehouse, Data Science, and Virtual Machine technologies.
Key outcomes:
Enhanced product suite with advanced speech recognition capabilities
Integrated data seamlessly across multiple platforms
Overview: Engineered a real-time IoT data acquisition system to enhance and optimize client business processes. Responsibilities: Utilized Azure IoT Hub for real-time IoT data acquisition. Directed data through three paths using Azure Stream Analytics for live visualization in Power BI and integration into Azure Data Lake Gen 2. Incorporated anomaly detection using custom Stream Analytics queries, triggering events in Azure Event Hub.
Key outcomes:
Engineered a real-time IoT data acquisition system
Implemented anomaly detection with automated notifications
Overview: Developed a health care portal to connect patient and clinical teams. Responsibilities: Contributed to the development of a health care portal. Implemented features to monitor patients' activity for vital diseases such as fever, blood pressure, and heart rate.
Key outcomes:
Contributed to a health care portal for patient monitoring
Enabled timely reporting of critical health situations
Key outcomes:
Developed backend solutions for a medical device company
Contributed to software improving surgical planning
Manikandan Obuldass
Python Developer