Prashanth K Email & Phone Number

Concord, Nc, Us

Denver, Colorado, United States

San Ramon, Ca, Us

• Built data dashboards for machine learning and data scientists teams using Python Dash, Plotly and Flask framework.• Developed reusable OOPS code in Python for data analysis and UI dashboards use cases to support business and research needs.• Developed Python Dash code in Local , tested and shared UI for daily reporting and analysis with internal stakeholders.• Deployed Python Dash/Plotly UI to Azure Functions using custom built Docker images and Files.• Analyzed huge volumes of Pipelines data using Jupyter Notebooks using Pandas , Numpy and developed weekly and monthly business review reports using Matplotlib and Seaborn Python data visualization packages and frameworks.• Created insightful visualizations and custom reports for multiple stakeholder teams, which helped them to make critical business impact decisions.• Developed Tableau reports fetching data from files and Databases using Sql queries.• Created ETL pipelines in Azure for file based data loads and Transformations using Python and Azure SDK.• Developed ETL solutions for delivery service by maintaining team’s own database by collecting , transforming, and loading data into tables by making use of star and snowflake schemas.• Created custom UI using HTML, CSS and basic Java script functionality with Python Dash Framework to support business and application needs.• Built ream time data pipelines using AWS DMS for replication and point in time history in AWS Redshift tables using AWS Glue and PySpark for rating and OIPA teams for their data needs and integrations.• Extensive knowledge on AWS data services EC2, S3, Glue and EMR.• Experience working with AWS services EC2, S3, Sagemaker and Glue.• Built Point in time Type-2 history data in AWS Redshift for PAS teams using AWS Glue and PySpark reusable custom code.

Chicago, Illinois, Us

• Worked with PySpark and Spark SQL in building the performance and optimized spark frame work for applications running on AWS EMR cluster data stored on Hadoop, HDFS, HIVE tables.• Understand existing system business logic, perform enhancement and impact analysis of the applications.• Used python Libraries like PySpark, Pytest, cxOracle and PyMongo based on the modules and business requirement.• Developed Spark applications using Spark tools like RDD transformations, Spark core, Spark streaming and SparkSQL.• Used GO lang scripts for uploading a file to S3 and deploying them and creating GO serverless application and deploying it to AWS lambda.

Newport Beach, Ca, Us

• Responsibilities include analyzing, trouble shooting, resolving and documenting reports. Understand existing system business logic, perform enhancement and impact analysis of the applications.• Document all the requirements received from business team, optimized for effective solutions.• Coordinate with business analyst, business client and various functional teams across the application to gather requirements and provide best solution approach.• Developed ETL programs in python to move data from source systems to analytics area.• Used python to retrieve and manipulate data from AWS Redshift, Oracle DB, T-SQL, MS SQL Server, Excel and Flat files.• Demonstrated to move data between production systems and across multiple platforms.• Once the data was dumped in to the analytics area, identified the business requirements to transform the data for analytics purposes based on the business requirements.

Hyderabad, Telangana, In

• Involved in the analysis, design, and development and testing phases of Software Development Life Cycle (SDLC). Managed and resolved design issues during deployment. • Maintains the Information Systems Development Methodology (ISDM) document. Coordinates with system project administrators to promote integration, consistency, and quality. Reviews applications and deliverables to ensure compliance with the ISDM.• Gathered the requirements from the data analysts and architects and performed technical analysis to reach a viable solution. Involved in tuning and optimization of SQL statements. • Converted, loaded and integrated data from Microsoft Access, Excel, text.csv files and internal database applications including the mainframe with data captured for security applications.