Dixith S Email & Phone Number

Dallas, Texas, United States

✔ Designed and implemented efficient Snowflake stages for loading data from diverse sources into Snowflake tables.✔ Developed and deployed scalable data solutions using Snowflake to integrate and manage healthcare data from Electronic Health Records (EHR), claims, and patient satisfaction surveys.✔ Engineered and optimized data pipelines in Snowflake to ensure efficient data ingestion, transformation, and loading, enhancing the overall performance of healthcare analytics.✔ Utilized Snowflake’s data warehousing capabilities to store and analyze large volumes of structured and semi-structured healthcare data, improving data accessibility and reporting.✔ Crafted and optimized complex SQL queries within Snowflake to extract actionable insights from healthcare data, supporting decision-making and reporting.✔ Implemented security measures and compliance protocols within Snowflake to safeguard sensitive healthcare information, adhering to HIPAA regulations and organizational standards.✔ Coordinated Snowflake integration with other tools and platforms, including AWS services and BI tools like Power BI, to facilitate comprehensive data analysis and visualization.✔ Conducted data quality assessments and validations in Snowflake to identify and rectify discrepancies, ensuring the accuracy and reliability of healthcare data.✔ Automated data workflows and processes using Snowflake features and scripting to streamline data operations and reduce manual intervention.

Pittsburgh, Pennsylvania, United States

✔ Managed data pipelines using Azure Data Factory, integrating multiple data sources for optimized workflows. Implemented real-time data processing with Apache Kafka, enhancing streaming capabilities within financial analytics.✔ Utilized Azure Key Vault for managing cryptographic keys and secrets, ensuring robust data security and compliance.✔ Deployed predictive models using Azure Machine Learning, aiding in financial risk assessments and predictive analytics. Leveraged Databricks for complex data processing, scaling operations to meet high data volume demands.✔ Orchestrated data transformation and integration using Python and SQL, improving the reliability and quality of data outputs.✔ Containerized applications using Docker, enhancing scalability and maintainability of deployment processes.✔ Managed data storage and retrieval operations using Azure SQL Database, ensuring high availability and performance.✔ Employed Azure Data Lake Storage (ADLS) for scalable cloud storage solutions, supporting big data analytics needs.✔ Tracked and managed data lineage with Unity Catalogue, ensuring accuracy and traceability of data transformations.✔ Streamlined ETL processes using Python, automating data extraction and loading tasks to enhance operational efficiency.✔ Configured and managed real-time data streaming pipelines using Azure Stream Analytics, facilitating timely data insights.✔ Secured sensitive financial data using Azure Active Directory, enforcing robust access controls and security policies.✔ Orchestrated CI/CD pipelines using Azure DevOps, improving project delivery speed and team collaboration.✔ Automated infrastructure deployment using Terraform, optimizing cloud resource management and cost efficiency.✔ Integrated data across disparate sources using Azure Data Factory, enhancing data accessibility for analytics.✔ Utilized Python scripts for data cleansing and preprocessing, ensuring data was analytics-ready and of high quality.

Kansas, United States

✔ Developed a migration plan outlining the scope, timelines, and potential challenges.✔ Identified data transformations or schema changes required to align with Snowflake's structure.✔ Utilized Azure data extraction tools like Azure Data Factory or Azure Data Lake Storage to export data from Azure sources.✔ Transformed the data to match the Snowflake schema and data types, including cleaning, enriching, or aggregating data for consistency.✔ Used Snowflake's data loading tools like SnowSQL, Snowpipe, and Snowflake Data Sharing to efficiently load the transformed data into Snowflake.✔ Ensured data integrity during the loading process and monitored for any errors or discrepancies.✔ Implemented comprehensive validation and testing procedures to confirm the accuracy and completeness of the migrated data.✔ Conducted performance testing to ensure queries and operations performed optimally in Snowflake.✔ Proficient in integrating Snowflake with a variety of data platforms and tools such as Tableau, Power BI, Talend, Matillion, and Apache Spark, enabling seamless data flow and analytics.✔ Demonstrated success in significantly improving query performance and reducing processing times for complex analytical tasks, leading to enhanced operational efficiency.✔ Knowledgeable about data compliance regulations (e.g., GDPR, HIPAA) and experienced in implementing data governance and compliance measures within Snowflake environments.✔ Proficient in designing and implementing robust disaster recovery and backup strategies to safeguard critical data and maintain business continuity.✔ Skilled in leveraging Snowflake's features for cost-efficient data storage, data sharing, and query execution, resulting in reduced cloud infrastructure expenses.

Nashville, Tennessee, United States

✔ Processed large-scale data batches using MapReduce, optimizing automotive analytics and reporting.✔ Designed and executed data workflows using Apache NiFi, facilitating seamless data integration across automotive systems.✔ Configured cloud-based data warehousing solutions using Azure Data Lake Storage (ADLS), optimizing data storage and retrieval operations.✔ Developed and maintained ETL processes using Azure Data Factory, ensuring high data quality and timely availability.✔ Implemented Azure Synapse Analytics for data cataloging and ETL automation, streamlining data processing tasks.✔ Created predictive analytics models using Azure Machine Learning, enhancing vehicle sales forecasting and customer behavior analysis.✔ Developed dynamic data visualizations and dashboards using Power BI, providing actionable insights into market trends.✔ Applied agile project management techniques using JIRA, enhancing project tracking and team productivity.✔ Utilized Azure Cosmos DB for storing and retrieving non-relational data, optimizing performance for high-velocity applications.✔ Leveraged Azure Stream Analytics for rapid, on-the-fly data visualization, aiding in quicker decision-making processes.✔ Employed SQL for complex data queries, supporting detailed analysis and reporting requirements.✔ Automated resource provisioning and management using Terraform scripts, aligning infrastructure with project needs.✔ Utilized Python for developing custom data processing logic, addressing specific business rules and requirements.✔ Configured Informatica to handle large volumes of automotive data, ensuring data consistency across platforms.✔ Developed and implemented data quality frameworks using Python, ensuring accuracy and reliability of analytics data.✔ Implemented data security measures and compliance protocols using Azure Active Directory and Azure Key Vault, ensuring data protection and regulatory adherence.

West Haven, Connecticut, United States

✔ Processed large-scale data batches using MapReduce, optimizing healthcare analytics and reporting.✔ Configured and maintained data warehouses using Apache Hive, centralizing patient data for analysis.✔ Automated complex data workflows with Apache Oozie, streamlining operations and reducing manual errors.✔ Orchestrated real-time data streams using Apache Kafka, enhancing responsiveness to healthcare events.✔ Developed SQL scripts for data manipulation and query optimization, supporting detailed healthcare analysis.✔ Utilized GitLab for version control and collaboration, maintaining high standards in software development.✔ Scripted automated data processing tasks using Python, improving data handling efficiency.✔ Managed data integrity and workflow automation using Apache Airflow, ensuring reliable data availability.✔ Implemented robust data security measures using MySQL, safeguarding sensitive healthcare information.✔ Optimized healthcare data analysis and processing with Apache Spark, enhancing computational efficiency.✔ Developed Python scripts for data cleaning and integration, ensuring accuracy in analytics.✔ Leveraged Kafka for handling real-time data feeds, enabling immediate data analysis and reporting.✔ Used Python and SQL to develop and maintain ETL processes, ensuring data quality and timeliness.✔ Automated data extraction and reporting processes using Apache Airflow, increasing operational efficiency.✔ Ensured data compliance and security with GitLab, maintaining code and data integrity.✔ Applied MySQL and PostgreSQL for database management, optimizing healthcare data storage.✔ Utilized Python for data analytics projects, deriving insights from complex healthcare datasets.

Rochester, Minnesota, United States

✔ Developed SQL queries for data analysis and reporting, optimizing performance and data insights.✔ Managed relational databases using MySQL and PostgreSQL, ensuring robust data integrity and security.✔ Created ETL processes using Talend, integrating data from diverse sources for comprehensive analytics.✔ Scripted data manipulation tasks with Python, enhancing data cleaning and preparation processes.✔ Developed dynamic business intelligence solutions using Power BI, creating insightful reports and dashboards.✔ Optimized database performance using MySQL and PostgreSQL, ensuring fast query responses.✔ Automated routine data processing tasks using Python, increasing productivity and reducing errors.✔ Leveraged Talend for data integration, facilitating efficient data migration and synchronization.✔ Configured Git for version control, maintaining a reliable codebase for data operations.✔ Enhanced data visualizations and analytics capabilities using Power BI, supporting strategic business decisions.✔ Implemented database backup and recovery strategies using MySQL and PostgreSQL, ensuring data durability.✔ Utilized Python for automating data extraction and loading, improving ETL workflows.✔ Developed comprehensive dashboards and reports with Power BI, visualizing data for actionable insights.✔ Managed code and database changes using Git, ensuring seamless updates and team collaboration.✔ Designed and executed data validation processes using SQL, enhancing data quality and reliability.