● Manual and automated data/UI/API validation. Train new employees.● Initiated, designed, and developed test automation that reduced data validation time by 50%.● Worked on UI test automation projects developed via Selenium, Playwright, Cucumber, Allure, JUnit, TestNG, BDD technologies.● Migrated a test automation project from Jenkins to GitLab, integrated it with Allure Reports and Allure TestOps.● Evaluated and advised on solutions or solved myself security vulnerabilities detected by security testing tools.

Designed, developed, and orchestrated ETL and ELT data pipelines as a contractor via TEKsystems.● Responsible for the development of data pipelines into Starbucks EDAP (Enterprise Data Analytics Platform) and PDW (Partner Analytics) platforms.● The pipelines constituted Extract, Load, Transform and Orchestration of data from various data sources, types and velocities.● The primary product produced by my team was a reusable data set or Data Product representing business need or activity.● The clients of my team were typically Data Scientists, Decision Scientists and Analysts, from various departments and teams within Starbucks.● Also developed egress solutions to third party Vendors or systems that provide additional analytic supplementation to data products. ● Worked closely with the Platform team to utilize tools and services provided by Azure, as well as CI/CD processes.● Supported the Operations team in ensuring production systems are robust, and functioning to client requirements.● Environment: Azure, Azure Databricks, Apache Airflow, Python, Git, Bash, Jira, Confluence, Slack, Teams, Miro, LucidChart, OneNote, VS Code, Spark, PySpark, Collibra, Jenkins.

Worked on Data Science and Data Engineering problems as a contractor via Akvelon and KRG Technologies.● Lead a team of 3 on a POC project to replace a costly external solution used by Microsoft and potentially saving Microsoft $500,000/year.● Developed Azure Databricks scripts that classified big data for a Data Science team.● Developed Azure Functions and Azure Web Apps for internal Data Science needs.● Developed internal tools for migrating Azure Data Factories from V1 to V2.● Environment: C#, Python, PySpark, Apache Spark, Azure Databricks, Azure, ASP.NET, JavaScript, HTML.

Worked on query optimization of an internal high performance Big Data analytics engine as a contractor via US Tech Solutions.● Set up EC2 on AWS with Java, Druid, Spark, Python, and custom software. ● Worked on an internal high-performance data analytics engine with concentration on improving Calcite query optimizer.● Designed and implemented data federation and data virtualization infrastructure.● Designed and implemented tools for measuring performance of a data analytics engine, analyzed and visualized performance data, investigated bottlenecks, suggested performance improvements.● Environment: AWS, Java, Calcite, Spark, Docker, Vagrant, R, Druid, Elasticsearch, Splunk, Python, Bash, Linux (OpenSUSE, Ubuntu), jmh.

Worked on the Microsoft HoloLens project as a contractor via Experis.● Designed and implemented Machine Learning solutions for clustering, classification, and predictive analysis of HoloLens telemetry data.● Proposed, implemented, and presented user pose classification HoloLens app at an internal technical conference.● Developed Scope scripts that processed Big Data stored on Cosmos DB –Microsoft database deployed on Azure. The scripts were deployed on Azure and the output was saved into SQL on Azure. ● Designed and implemented visualizations of the HoloLens telemetry data.● Implemented HoloLens telemetry for HoloLens apps.● Worked on HoloLens partnership projects between Microsoft and several Fortune 500 companies.● Designed and developed test plans and test cases for internal HoloLens apps - BVT, functional, performance tests.● Environment: C#, R, .NET, Visual Studio 2015, Unity, JavaScript, Scope, Cosmos DB, Node.js, HTML.

Worked on the HawkEye project as a contractor via Aditi.● Was responsible for all stages of testing: designed test plans and test cases for desktop and mobile versions of an internal data processing and visualization application.● Developed test framework for UI testing of the app using Java, TestNG, uiautomator, Selenium WebDriver technologies on low level and Page Object design pattern on high level.● Enhanced existing tests by converting end to end tests from week over week to time over time logic, adding pipeline view to a test report.● Set up Continuous Integration systems using combination of Jenkins, Maven, Git, Java, TestNG technologies. ● Designed and executed performance and load tests using Apache JMeter.● Environment: Java, Maven, Jenkins, Thrift, Eclipse, TestNG, JUnit, Selenium WebDriver, Apache JMeter.

Worked on Xbox and SmartGlass projects as a contractor via Aditi● Designed test cases and developed test automation for the Xbox Games and Xbox SmartGlass apps.● Enhanced test frameworks by adding new features, adding stubs, and fixing bugs.● Developed UI tests, View Model driven tests, performance tests, integration tests, functional tests, end to end tests, localization tests.● Environment: C#, Silverlight, SUTF (Silverlight Unit Test Framework), YMTF (Yamamoto Managed Test Framework), Windows Phone 8, .NET, Visual Studio 2012, Visual Studio 2013, TFS.

Designed, developed and tested Big Data classification and visualization software.● Developed a prediction engine using Machine Learning that was used for sentiment, language, document classification, weather and stock price forecasting. Exposed the engine as internal WCF service.● Automated test cases using Silverlight Unit Test Framework, NUnit, VS2010 Unit Testing and Moq – BVT, functional, performance, end to end and WCF tests.● Environment: C#, Silverlight, HTML5, JavaScript, jQuery, jqPlot, KnockoutJS, WCF,REST, SQL Server, XML, LINQ, .NET, Visual Studio, ASP.NET, JSON, Moq, WordNet, Machine Learning, Python, MongoDB, Solr, TFS, SVN, TortoiseSVN, MongoVUE, Ruby on Rails.

Developed test automation for Xbox, Windows Phone, Windows Azure, Visual Studio, Windows Embedded, SQL Server, Response Point as a contractor via Volt using the following technologies: C#, SQL Server, XML, XSL, LINQ, .NET, ASP.NET, WTT, TFS, WireShark.