Bethoon Upputuri Email & Phone Number

Garner, North Carolina, United States

Design and implement data engineering cloud-based solutions to support the data needs of the supply chain processes.Building robust, scalable, and efficient data pipelines that collect, process, and transform data from various sources to provide valuable insights and support decision-making within the supply chain organization.Work closely with Stakeholders/Planners, data scientists, and data analysts to understand the supply chain requirements, design a scalable and optimized data architecture, and select appropriate data storage solutions, databases, data warehouses, and data integration technologies based on the client's requirements.Develop data integration strategies and ETL (Extract, Transform, Load) pipelines to consolidate and integrate data from various supply chain sources. Design data models representing supply chain processes and support efficient data storage in cloud, retrieval, and analytics. This may involve DataWareHose, DataLake, and Delta Lake.Architect solutions to handle real-time data streaming and processing for time-sensitive supply chain activities, such as inventory tracking, demand forecasting, and order fulfillmentEnsure data quality, reliability, and accuracy by implementing data validation, cleansing, and governance processes. Maintain data documentation and metadata to provide data lineage and transparency.Optimize data pipelines and processing workflows to improve performance, reduce latency, and minimize data processing costs.Work collaboratively with cross-functional teams, including data scientists, business analysts, supply chain managers, and IT professionals, to understand business requirements and deliver data-driven solutions.Support identifying and resolving data-related issues and performance bottlenecks in the data infrastructure.

Durham, North Carolina, United States

Design, develop, and launch extremely efficient and reliable data pipelines in cloud using Big Data Technologies Make Big data more discoverable and easy to use for Data Scientists and Analysts across the company.Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.Collaborate with other engineers and Data Scientists to discover the best solutions.Follow design documents and standards to develop, operate and tune data & analytics servicesDiagnose and solve issues in our existing data pipelines envision and build their successorsDefine and manage SLA for all data sets in allocated areas of ownership.

Durham, North Carolina, United States

• Working as a Consultant responsible for designing and developing the CPR project data lake in Azure. • Working on understanding the client requirements and designing the table schema in the data lake. • Developing the dimension, facts, and measures for the product. • Designing and developing the archaization of the CPR project. • Working with an advanced analytics team, gathering requirements and designing the new inputs.•.Working relational databases and large scale distributed systems such as AWS/Azure, Hadoop, and Spark along with querying languages including SQL, Hive, and Spark SQL.Experience in orchestrating scheduled jobs and optimizing the flow and schedules as needed.Experience in designing a data warehouse over a complex network of data sources that can cater to all transactional and analytical needs of data sciences..Ability to communicate the results clearly and effectively to leadership teams to influence the overall quality of the product..Comfortable supporting, collaborating, and communicating with senior management and building strong working relationships through active listening, delivering promised results, and establishing trust.Ability to initiate and drive projects to completion with minimal guidance in a fast-paced, dynamic environment.

Raleigh-Durham, North Carolina Area

• Working as a Consultant responsible for designing and developing the CPR project data lake in Azure. • Working on understanding the client requirements and designing the table schema in the data lake. • Developing the dimension, facts, and measures for the product. • Designing and developing the archaization of the CPR project. • Working with an advanced analytics team, gathering requirements and designing the new inputs.•.Working relational databases and large scale distributed systems such as AWS/Azure, Hadoop, and Spark along with querying languages including SQL, Hive, and Spark SQL.Experience in orchestrating scheduled jobs and optimizing the flow and schedules as needed.Experience in designing a data warehouse over a complex network of data sources that can cater to all transactional and analytical needs of data sciences..Ability to communicate the results clearly and effectively to leadership teams to influence the overall quality of the product..Comfortable supporting, collaborating, and communicating with senior management and building strong working relationships through active listening, delivering promised results, and establishing trust.Ability to initiate and drive projects to completion with minimal guidance in a fast-paced, dynamic environment.

United States

• Involved in implementing the ETL process using the most unstructured and Cigna data from weblog (browse data) sources like Media math, Omniture, and Core metrics, and converted them into meaningful data formats using SAS and Hive in Cloud platform. • Worked with the business users to create the functional specifications and technical solution documents to identify the marketing channel classifications, KPIs, and conversion patterns. • Created intermediary and final MIS reports explaining the data trends and conversion patterns using tools like Excel and Tableau. • Developed reusable UDFs and code components to improve query performance and code optimization. • Involved in processing TBs of log data in the cloud and identified problem areas to improve performance and resource utilization. •

Hyderabad Area, India

>Participated in business functional requirement meetings with clients and end-users. • Involved in determining operational objectives by studying business functions, gathering information, evaluating output requirements and formats. • Designed new SAS programs by analyzing requirements, constructing workflow charts and diagrams, studying system capabilities, and writing specifications. • Gathered the survey data from different sources to the SAS environment. • Divided the data into train and test samples. • Executed Exploratory Data Analysis (EDA) to understand the behavior of the data by using PROC FREQ, PROC UNIVARIATE, and PROC MEAN. • Provided final cleaned data for statistical analysis. Provisioned and managed Linux based cloud infrastructure for application

Master Of Computer Applications - Mca, Computer Science

Graduation In Computer Statistics