Vinayak Belamkar

SDET | PYTHON | PLAYWRIGHT | API | CLOUD & DATA TESTING

Talent

PuneMember since July 29, 2026

PythonSQLPandasNumPySelenium WebDriverPlaywrightPyTestPage Object ModelPython requestsREST APIsAuthenticationAzure Data FactorySnowflakeOracleMySQLReconciliationDockerKubernetesAzureJenkinsGitHub ActionsAzure DevOpsGitGitHubAllure ReportsTest-data generationAzure MonitorLog AnalyticsApache JMeterAgile/Scrum

Hire this person

Send a job offer directly to this candidate

PythonSQLPandasNumPySelenium WebDriver

About

Software Development Engineer in Test (SDET) with 5 years of experience in Python-based UI, API, microservices, ETL, database, and performance testing. Skilled in building scalable automation frameworks using PyTest, Selenium WebDriver, Playwright, Page Object Model, reusable utilities, fixtures, parametrization, and parallel execution. Hands-on project experience with REST API automation, Pandas/NumPy-based data validation, Azure Data Factory, Snowflake, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, cloud-based test execution, observability, and AI-assisted QA workflows.

Domain expertise includes payment processing, investment banking, trade lifecycle, settlement, reconciliation, and data quality validation.

Experience

SDET - Python Automation Engineer at Intechfy Solutions (2021-08 – Present)

Design and maintain scalable Python automation frameworks using PyTest, Selenium WebDriver, Playwright, Page Object Model, reusable components, fixtures, parametrization, and parallel execution.
Automate UI, REST API, and microservices workflows; validate authentication, payloads, response schemas, contracts, business rules, integration paths, and negative scenarios.
Build data-validation utilities using Python, Pandas, NumPy, and SQL for source-to-target checks, reconciliation, duplicates, nulls, transformations, SCD history, and report validation.
Validate Azure Data Factory pipelines and backend data across Oracle, MySQL, and Snowflake; investigate mismatches across application, API, database, and reporting layers.
Containerize automation suites with Docker and execute them in Kubernetes-based test environments; validate pods, configurations, logs, and deployment readiness.
Integrate smoke and regression suites with Jenkins, GitHub Actions, and Azure DevOps CI/CD pipelines and publish Allure, HTML, and JUnit results.
Use Azure Monitor, Log Analytics, application logs, screenshots, API evidence, and AI-assisted analysis to accelerate failure triage, root-cause investigation, and test maintenance.
Collaborate with developers, business analysts, product owners, DevOps, and data teams in Agile/Scrum delivery; manage defects, reviews, release sign-off, and quality gates in JIRA.