Dhruti Dudhat Email & Phone Number

New York, Ny, Us

Developed SSIS packages for data extraction, transformation, and loading, ensuring smooth integration of data from heterogeneous sources into SQL Server databases.Led the deployment of machine learning models using AWS Bedrock, streamlining the ML lifecycle from development to production and enabling scalable, secure AI applications.Optimized Tableau queries in collaboration with database administrators, ensuring efficient data retrieval and responsive dashboard performance.Implemented real-time data streaming and processing with AWS Kinesis, enabling rapid insights and decision-making.Developed and managed AI-driven solutions in Azure ML Studio, from data preprocessing to model training and deployment, significantly improving project efficiency and accuracy.Utilized Matplotlib for creating dynamic and interactive visualizations, facilitating the communication of complex data patterns to non-technical stakeholders.Implemented Tableau Server and Power BI Service solutions, enabling secure and centralized sharing of dashboards, reports, and datasets, ensuring efficient collaboration and knowledge dissemination across the organization.Leveraged PostgreSQL's spatial data capabilities, combined with Python and Pandas, to perform complex geospatial analyses, enhancing data-driven decision-makingIntegrated large language models and generative AI technologies into data pipelines, focusing on applications such as natural language processing and content generation, using platforms like OpenAI, Hugging Face, and custom-developed tools.

Managed and optimized data warehousing solutions on Amazon Redshift, ensuring seamless integration and efficient querying of diverse data.Utilized SSIS Data Flow transformations for data cleansing, validation, and enrichment, ensuring high-quality data for downstream applications and analytics.Leveraged Looker's LookML modeling language to create customized data models, combined with Google BigQuery, facilitating complex queries and accelerating data processing times by 40%.Developed data lakes on AWS S3 and Hadoop, employing Apache Flink for stream processing and Apache HBase for real-time NoSQL database capabilities, ensuring robust storage and processing of diverse data types.Developed data orchestration solutions with Apache Airflow and Apache Spark, automating large-scale data processing tasks, and integrating them with Amazon Redshift for high-performance analytics, optimizing the organization's data infrastructure.Implemented monitoring and logging solutions for Scala applications, using tools like Prometheus and Grafana to ensure system reliability and performance.Employed Scala with Apache HBase to develop real-time NoSQL database applications, ensuring efficient storage and retrieval of structured and semi-structured data.Executed projects in GCP AI Studio, utilizing its integrated tools for building and managing ML models, which enhanced predictive analytics and data processing capabilities.Designed complex data transformations using Python and Pandas, feeding the processed data into Designed and implemented predictive models in SAS, enabling proactive solutions to business challenges and forecasting future trends with precision.Built end-to-end data processing pipelines with AWS Glue, Apache Spark on Amazon EMR, and Amazon S3, enabling seamless data integration, transformation, and storage, and empowering data scientists and analysts with clean, processed datasets.