Amol Shinde

About Amol Shinde

Data Quality Engineer in advertising & App media projectProject: Digital Turbine, AUSTIN – HQ, USADomain: Advertising Services• Proficient in various testing methodologies including functional testing, database testing, ETL testing, Selenium WebDriver, and API testing. • Good experience with ETL operations and SQL• Experience in ETL Concepts.• Proven experience in job monitoring and tracking scheduled tasks.• Experienced in working on AWS to GGP Data migration project.• Familiarity with Apache Kafka for data streaming• Ability to coordinate and collaborate effectively with development and infrastructure teams• Utilize SQL to execute queries, monitor performance, and ensure data accuracy.• Proficiency working in Agile methodology• Facilitated client discussions and all scrum events including daily scrum meetings, Sprint planning, Backlog refinements, Sprint review and Retrospectives.• Handled change requests and bug fixes.• Test Environment & Data Validation: Managed test environments (Dev, QA, Stage) and validated large volumes of data through ETL pipelines.• Automation & Defect Tracking: Created test scripts, executed tests, tracked defects using JIRA, and managed test cases with TestRail.• Data Quality: Implemented Great Expectations for data quality and automated test scripts using Python.• API Testing: Expertise in API testing using Karate, Postman, and automated scripts.• Cloud & Data Tools: Hands-on experience with AWS, Google Cloud Storage, Databricks (Notebooks, Workflows, Lakehouse), Apache Kafka, Aiven Kafka, and Apache Airflow.• Unix/Linux: Expertise in Unix/Linux environments for testing and automation tasks.• Experience in writing complex SQL scripts and use it in test/prod data validations and ETL testing.• Translate ideas and business requirements into fully functioning ETL workflows.• Experience in Apache Airflow workflows• Experience in testing API using Postman.• Experience in GS storage (Google cloud storage)• Experience in Databricks (Notebook, Workflows and SQL editor)• Experience testing data pipelines developed in Databricks• Experience in Databricks Lakehouse (Bronze, Silver and Gold layer)• Experience on Docker and Kubernetes, containerizationDomain: • Functional Testing. DB Testing. ETL process· Data warehousing, Linux, SQL, Python• Data warehouse project• Data migration project • ETL + report testing • Exposure of Selenium web driver(UI testing)SDLC• Agile

Experience

1. Senior Test Engineer

   Trigent Software Inc

   Mar 2025 — Present · Bengaluru, IN

   Data Test Engineer / ETL TesterSnowflake Data Warehouse | Azure CloudDomain - Insurance Domain As a Data Test Engineer, I am responsible for ensuring data integrity and quality across ETL pipelines and data workflows. My role involves validating large-scale data transformations, performing end-to-end testing of data ingestion processes, and verifying data accuracy in Snowflake-based data warehouses. I work closely with data engineering teams to design and execute test cases for both batch and streaming data processes.Key responsibilities include:Writing and executing SQL queries to validate data accuracy and completeness in Snowflake- Conducting ETL testing to ensure proper data extraction, transformation, and loading from source systems into Snowflake- Performing source-to-target data validation, schema checks, and transformation logic verification.Collaborating with cross-functional teams to troubleshoot data issues and improve pipeline reliability- Participating in sprint ceremonies and contributing to QA planning in Agile development cycles- Tools & Technologies: Snowflake, Azure Data Factory, Azure Data Lake, SQL, Python (for test automation), Git, JIRA

Education

• University of Mumbai

  Bachelor of Engineering - BE, Electrical and Electronics Engineering

  2011 — 2015

• Rajarambapu Institute of Technology, Rajaramnagar, SAKHARALE

  M.Tech, (Electrical and Electronics Engineering)

  2015 — 2017

• Centre for Development of Advanced Computing (C-DAC)

  PG-DAC, Information Technology