Ravineesh Goud

• Design, develop, monitor, and troubleshoot batch pipelines and ETL processes using Databricks and Azure Data Factory for various teams. • Collaborate with data scientists and data analysts to understand requirements. • Ensure data quality and consistency through data validation and cleansing. • Working with Microsoft Purview for efficient data cataloging, utilized Purview REST API for data catalog backup/restoration, and integrated Azure Data Factory for comprehensive data lineage mapping.

• Implemented an ETL pipeline using Python for an end‑to‑end test result dashboard. • Developed a dashboard (Grafana, Prometheus) for monitoring end‑to‑end test results. • Developed an ETL pipeline by extracting data from Google Docs using Google Docs API and GitHub code files using GitHub REST‑API. Further, I created and integrated the dashboard on Grafana to visualize the Mapping dashboard. • Building and maintaining CI/CD pipelines using GitHub Actions.

• Developed and managed end‑to‑end test cases using Cypress, Docker, JavaScript, and Python for an open‑source web‑based energy trading platform. • Development and maintenance of CI/CD pipelines using TravisCI and GitHub Actions. • Adapted a Behavior‑Driven Development (BDD) framework for testing, enhancing the efficiency and effectiveness of the testing process.

• Performing data analysis of consumer electricity data, writing complex SQL queries and procedures, creating and designing tailor‑made reports,and automating SQL queries through SQL Developer and TOAD. • Carrying out data cleansing, pre‑processing, validation, migration, and management routine activities. • Planning and Implementation of IT‑related projects launched by the State/Central Ministry of Power. • Identifying user needs, designing and conducting user training programs for capacity building.

Below are the courses which are in my master's curriculum: 1. Data Science 2. Machine Learning 3. Big Data 4. Web Information Retrieval 5. Computational Social Science 6. Information Security 7. Network Theory and Dynamic Systems (Graphs) 8. Entrepreneurship Design Thinking and Strategies. Grade: 2.5

Below are courses which I've studied during Bachelors: 1. Data Structures 2. Analysis and Design of Algorithms. 3. Database and Management Systems. 4. Data Warehousing and Mining. 5. Software Engineering and Reusability 6. Computer Architecture 7. Computer Networks and Internet Technology 8. Operating Systems 9. Theory of Computation 10. Internet Technology 11. Pattern Recognition 12. Distributed Systems Grade: 2.5