- Collaborated in designing, developing, and maintaining extract, transform, and load (ETL) processes for data ingestion and integration- Performed data quality checks, implemented data governance policies and procedures, troubleshooted data issues, ensuring data accuracy and integrity, and reducing data errors by 30%. - Utilized BI tools (such as Power BI) to create actionable reports and data visualization solutions to communicate insights to stakeholders and support decision-making.

- Assisted in designing, developing and maintaining real-time data pipelines and extract, transform, and load (ETL) workflows for real-time data streaming such as camera streaming and IoT sensors. - Collaborated in developing a real-world digital twin for developing machine learning models using Python and the Nvidia Omniverse platform. - Built data APIs and designed and implemented databases, data models, and data warehouses for data storage and analysis, resulting in the design of a scalable data architecture that increased data processing capacity by 30%.- Tools: Python, SQL, Apache Kafka, Spark, Docker, and AWS.

- Designed and implemented dashboards and visualizations that effectively communicated key trends and insights to executive leadership, leading to data-driven decision-making and improved business performance. - Collaborated with stakeholders to identify data requirements and developed data solutions, resulting in a 25% increase in data accessibility and improved decision-making processes.- Developed and maintained SQL queries to extract data from multiple databases for data analysis, optimizing query performance and reducing query execution time by 15%.- Managed the automation of data integration workflows from various sources into a unified database, improving data accuracy by 20% and enabling more effective data reporting and delivering key insights.