Driven QA Test Engineer with a proven track record at Accenture, where I leveraged agile methodologies to expedite software releases, enhancing product quality and customer satisfaction. Skilled in Performance Tuning and adept at conducting root cause analysis, significantly reduced defects and improved development cycles. Approach combines technical proficiency with a keen focus on end-user needs. Certified Test Engineer with expertise in functional and non-functional testing processes for implementation and managing and troubleshooting systems. Manages complex tasks and teams successfully integrating activities across multiple sites and business units. Creates positive and productive atmosphere within interactive team environments.
1) Description: Build a system that processes and analyzes streaming data in real-time, such as logs or IoT sensor data, using technologies like Apache Kafka for message queuing and Apache Spark for stream processing.
Technologies: Python (for Spark streaming jobs), Apache Kafka (for messaging), Apache Spark (for stream processing).
2) Description: Implemented tests and anomaly detection algorithms to identify and flag anomalies in datasets or data streams, ensuring data quality and reliability.
Technologies: Python (for anomaly detection algorithms), SQL (for querying and validating data), machine learning libraries (e.g., scikit-learn, TensorFlow).
3) Description: Build and deploy machine learning models using Databricks for data preprocessing, model training, and evaluation, leveraging data stored in Snowflake.
Technologies: Python (for model development and integration with Databricks), Apache Spark (for distributed computing), Snowflake (for data storage and retrieval).