Vineeth Kumar B Email & Phone Number

Columbia, South Carolina, United States

I managed project workflows and tasks using Jira, facilitating collaboration and tracking project progress throughout the Software Development Life Cycle (SDLC). By utilizing Agile methodologies, I iteratively developed and enhanced data visualization dashboards in Power BI, which significantly improved real-time decision-making processes. I created comprehensive UML diagrams using Microsoft Visio and Lucidchart to visually represent complex data structures and system architectures, aiding effective communication with stakeholders. Leveraging Tableau, I analyzed large datasets to generate actionable insights. I also designed and implemented ETL processes to extract data from various sources such as databases, APIs, and flat files, while maintaining database models in NoSQL databases to ensure data integrity and scalability for evolving business needs. Utilizing Azure services like Azure Data Factory, I efficiently ingested data from diverse sources. Additionally, I developed class diagrams, component diagrams, and deployment diagrams using Rational Rose. I published Power BI reports to the Power BI service and configured sharing and access permissions. To further enhance stakeholder communication and understanding, I created UML diagrams to model system processes and workflows, collaborating with cross-functional teams using Agile methodologies. Moreover, I conducted data analysis using Python and R, employing NLP libraries like NLTK and SpaCy to derive insights from unstructured text data.

St. Louis City County, Missouri, United States

I evaluated NoSQL database technologies such as MongoDB and Cassandra for data storage solutions. I implemented CI/CD pipelines using Jenkins and GitLab to automate software delivery processes, ensuring continuous integration and deployment. Additionally, I developed and maintained automated data pipelines on AWS utilizing services like AWS Glue, AWS Data Pipeline, and AWS Lambda. Managing project tasks and collaborating with teams using Jira and Confluence, I supported Salesforce integration projects by leveraging Salesforce Data Loader to import/export data and maintain data integrity. I created wireframes and mockups for software applications and web interfaces using Balsamiq. Monitoring ETL processes for errors and failures, I effectively troubleshooted issues to minimize downtime and documented ETL workflows, data mappings, and transformation rules for reference and knowledge sharing. Working in Agile Scrum environments, I provided technical expertise and support in CMS management, designing and maintaining database structures using HBase and NoSQL to optimize data storage and retrieval processes. Proficiently navigating UNIX environments, I manipulated and analyzed large datasets, ensuring data integrity and accuracy. I employed Salesforce to track and analyze customer interactions and demonstrated expertise in data manipulation and analysis through advanced Excel functions, enabling comprehensive data exploration and visualization. Using Jira, I managed project workflows and tracked progress, developed UML diagrams to model business processes and system architectures, and implemented RESTful APIs to integrate data sources, enhancing data accessibility and interoperability. Collaborating with cross-functional teams using Confluence, I facilitated knowledge sharing and documentation of project requirements and outcomes.

Maharashtra, India

I implemented Salesforce CRM solutions, configuring custom objects and workflows to streamline sales and marketing processes. Utilizing Azure Data Factory, Power BI, and Python, I seamlessly integrated and transformed diverse data sources to derive meaningful insights. I conducted performance tuning and optimization of ETL jobs based on feedback and usage patterns, and developed visually compelling reports and dashboards using Tableau and Power BI to effectively communicate complex data trends to stakeholders. Implementing CI/CD pipelines, I automated the build, test, and deployment of software applications. I trained team members on best practices for document creation and management in MS Word. Leveraging Oracle SQL, Teradata SQL, PostgreSQL, and Snowflake, I managed various data-related tasks, including executing data migration from on-premises databases to Azure cloud storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage.For process optimization, I implemented Terraform and CloudFormation to automate infrastructure deployment. I conducted comprehensive requirement gathering using Agile methodologies, Jira, and Rational Requisite Pro, and created detailed UML diagrams in Visio and Rational Rose to model data structures and relationships. Utilizing Salesforce CRM, I analyzed customer data to drive strategic decision-making. Additionally, I employed Hadoop and Hive for big data processing and analysis, efficiently handling large datasets. I developed and executed SAS programs for statistical analysis and predictive modeling, providing actionable insights to improve business performance. Finally, I generated DDL and DML scripts to create and manipulate database objects, ensuring data consistency and compliance with business requirements.

Banglore

I applied Hadoop and MapReduce techniques to handle large-scale datasets, optimizing data processing and analysis workflows. I developed and maintained ETL pipelines using AWS services like AWS Glue, and leveraged SAS for statistical analysis and modeling to provide valuable insights into complex datasets. Utilizing MS Excel for data cleaning, manipulation, and visualization facilitated clear presentation of findings. I employed Pandas and NumPy libraries in Python for data manipulation and numerical analysis tasks and created visually appealing data visualizations using Seaborn, Matplotlib, and Tableau.I utilized Python, SQL, and ETL tools like NiFi and Flume to extract, clean, and transform raw data from various sources such as databases, CSV files, and APIs. Through statistical analysis using R, Python's SciPy, and IBM SPSS, I derived actionable insights. Leveraging Hadoop, MapReduce, and Spark, I processed and analyzed large volumes of structured data. I implemented cost-effective data solutions on AWS by optimizing resource utilization and leveraging AWS cost management tools. Managing relational databases like MySQL, PostgreSQL, and SQL Server ensured data integrity and security.I prepared and formatted business requirement documents, project plans, and presentations using MS Word and optimized Power BI reports for performance and usability. Applying machine learning algorithms using Scikit-learn, I implemented predictive models for various business applications. Additionally, I developed and executed Pig and Hive scripts for data processing and analysis in the Hadoop ecosystem. Collaborating with stakeholders, I created interactive dashboards using QlikView.