# Nikhil Veeresh > Staff Software Engineer | Agentic AI | Data Engineering | Advertising @ Walmart | Data analytics Location: Sunnyvale, California, United States Profile: https://flows.cv/nikhilveeresh With over 12 years of experience in data engineering & MLOps, I am currently a staff software engineer at Walmart Global Tech, where I build and maintain data pipelines and reports for the Advertising platform (Sponsored Products). This platform enables advertisers to reach millions of customers across Walmart's online and offline channels, driving sales and revenue growth. I leverage my extensive knowledge and skills in big data analytics, ETL, Python, SQL, and cloud technologies to process, store, and generate insights from large-scale data sets, using tools such as Airflow, Spark, Dataproc, BigQuery, and Azure. I also collaborate with cross-functional teams to design and implement scalable and robust data solutions that meet business requirements and customer needs. I am passionate about solving complex problems with data-driven solutions, delivering value to customers and stakeholders, and learning new technologies and best practices. ## Work Experience ### Staff Software Engineer @ Walmart Global Tech Jan 2022 – Present | Sunnyvale, California, United States ### Senior Software Engineer @ Walmart Global Tech Jan 2021 – Jan 2022 | Sunnyvale, California, United States Adtech (Sponsored Products) • Backend Engineer responsible for building and maintaining data pipelines • Work with Data at scale to process, store and generate reports that help making business decisions including but not limited to attribution for instore and online transactions • Built Adtech campaign management system for Sponsored Products platform that helps updating campaign budgets realtime • Primarily use Airflow as the data orchestration layer and Apache Spark framework for data processing needs that uses Google's dataproc clusters • Extensively use Google Big query and Azure SQL for reporting and adhoc querying needs • Have used Google cloud storage & Azure's Blob storage for storage needs ### Senior Consultant @ Kaizen Analytix Jan 2020 – Jan 2021 | Greater Atlanta Area Media and Entertainment marketplace • Led the team to design and implement revenue forecasting framework for media & entertainment clients • Automated an end-end forecasting framework, leveraging AWS Glue, Python, SQL & RESTful APIs that allowed for running the data & forecasting pipeline thereby reducing manual effort by almost 80% • Collaborated with the team to help design and implement star schema that included a combination of fact & dimension tables • Genericizing of the framework to support any client data that could be leveraged across variety of customers seamlessly thereby reducing manual effort of data configuration and setup • Implemented a RESTful API endpoint that provided clients to medium to consume forecasts • Designed integration framework by collaborating with client to integrate the forecasts got from the RESTful API response into Sales Force system that was used by the client DEI Initiative • Led the technical team to build descriptive analytics platform for Community policing • Built KPIs to garner insights into Police agency performance in different Organizational & developmental categories and how it impacts crime rate • Designed & implemented the platform to benchmark each Police agency to other agencies in the same geographical region or in certain Organizational & developmental categories of agency performance • Architected the end-end system that included automating data pipelines for disparate data sources, perform data mining to gain insights from data through PowerBI Dashboards • Designed & implemented the data warehouse that incorporated star schema data modeling standard using Azure MySQL DB • Designed and led the team in implementing data pipelines that utilized Python, Azure MySQL & Azure Data factory for updating data based on event driven and scheduled triggers • Monetized the data by building a data repository that allowed for collecting & re-distributing data via RESTful API endpoints ### Data Scientist @ Kaizen Analytix Jan 2017 – Jan 2020 | Greater Atlanta Area • Implemented dynamic pricing framework for a major online ticket resale marketplace utilizing A/B testing infrastructure for rapid ‘sense-and-respond’ that aided 4% revenue uplift. Tools: Python, R, Spark & Hive • Developed a contextual, value-driven pricing framework for a large B2B food distributor using R • Developed a suite for Machine learning & Business Insights. Tools: AWS, Tableau and Python • Developed ensemble machine learning algorithm to predict sales for major automotive manufacturer • Led the development of pricing framework for entertainment operators. Tools: Python, R, Excel, Tableau • Created suite to scrape events, hotel prices, weather data etc. from websites intended to provide the team a platform to enrich data for exploratory analysis and model building. Tools: Selenium, Python, MySQL ### Project Engineer @ Wipro Jan 2016 – Jan 2016 | Bengaluru Area, India • Design, Develop and test Media applications mostly Enhancement projects. • Worked on embedded C and C++ with a reputed infotainment company as our client • Responsible for Design, Development and Testing (White box & Black Box testing) of Application as per the requirements of the customer ### Software Engineer @ Cerner Corporation Jan 2014 – Jan 2015 | Bengaluru Area, India • Worked as a Software Engineer on core C++ with the Revenue Cycle department which provides healthcare IT solutions that focuses primarily on Patient Registration. • Responsible for enhancing the existing algorithm of pattern matching algorithm. Tools: C++, C# • Led the development effort on patient searching algorithm that uses Complex pattern matching algorithm which locates the patient record accurately at the time of registration at a success of 99.95% and increased the performance by reducing the in-search time by 50%. Tools: C++, SQL • Enhanced registration application that helped patients to pre-register prior to any medical procedure or appointment reduced the cost by 70% by streamlining the scheduling process that increased the utilization of resources including doctor and equipment effectively Tools VB, C#, .Net, SQL Key Responsibilities: Design, Coding, Code review, Black Box testing, White Box testing Skills Acquired : 1. Server Side Coding using C++ 2. VB - C# Uplift 3. Skills : Scripting CCL (Cerner's Query Language ), C++, VB .Net, C# .Net 4. Tools: Crucible, HP ALM, SVN Tortoise 5. Revenue cycle knowledge (Non-Clinical side of Medical Domain) ### Software Engineer @ Tech Mahindra (formerly Mahindra Satyam) Jan 2012 – Jan 2014 • Developed remote patient monitoring system viz. Electronic Intensive Care Unit that aids in monitoring patients with critical or acute illness remotely. This application was recognized as the best upcoming healthcare application at the General Electric road show hosted by GE Tools: Qt, C++, SQL • Designed & developed the remote patient monitoring Server that streams patient data remotely from multiple patient monitoring devices & rendered on a Patient Monitoring Station at the hospital. • Implemented DICOM Viewer that assists radiologists (Doctors) to view Medical Images like CT, MRI, X- Ray, etc. with enhanced tools for better viewing of image and capability to remotely provide doctor reports. Skills acquired : 1. SQL Server 2008 2. ASP .Net 3. ADO .Net 4. Qt Framework (UI Developement) 5. Core C++ 6. SVN 7. Medical Domain Knowledge (HL7, DICOM, HIPPA) ## Education ### Master's degree in Management Information Systems, General Georgia State University - J. Mack Robinson College of Business ### Bachelor of Engineering (B.E.) in Computer Science The National Institute Of Engineering, Mysore ## Contact & Social - LinkedIn: https://linkedin.com/in/nikhil-veeresh --- Source: https://flows.cv/nikhilveeresh JSON Resume: https://flows.cv/nikhilveeresh/resume.json Last updated: 2026-04-12