Data & Integration

• Gathered, analyzed and clarified business requirements for data integration and technical solutions.
• Translated business needs into functional and technical requirements, specifications and acceptance criteria.
• Analyzed source systems, data structures, datasets and business rules.
• Designed and documented data flows, source-to-target mappings and transformation logic.
• Worked with REST APIs and system integrations, including API specifications and data validation.
• Used SQL for data analysis, validation and investigation of discrepancies.
• Worked with Azure Data Factory and Databricks ETL pipelines.
• Collaborated with developers, architects, QA, business stakeholders and data teams.
• Managed backlog items, priorities, dependencies and requirement changes.
• Supported the full lifecycle from requirements through development, testing, UAT and production.
• Coordinated UAT, stakeholder feedback and sign-off.
• Supported data quality, access and governance requirements.

Environment: Azure Data Factory, Databricks, ADLS, Azure Blob Storage, SQL, HANA, APIs, Redshift, MongoDB, SFTP, Azure DevOps, Jira, Confluence, Postman.

Responsibilities:

• Analyzed business and system requirements and clarified requirements with stakeholders and development teams.
• Designed and executed functional, integration and regression testing.
• Performed API and data validation, including SQL-based verification.
• Created test strategies, test plans, test cases and test data.
• Managed and mentored QA engineers.Investigated, classified and prioritized defects.
• Validated implementation against business and system requirements.
• Participated in Agile/Scrum development and release activities.
• Contributed to improvements in technical documentation and development processes.

Achievements:

• Project technical documentation improved.
• Development process improvementsProjectAudit management systemMulti-user web-applicationProvide an ability to audit and generate documentation.

QA Engineer

Responsibilities:

• Requirements design and analysis including communication with the stakeholders.
• Business logic design and analysis including communication with the stakeholders.
• Functional and non-functional test cases design and run.
• Issue classification and prioritization.
• Integration testing
• Creating test datasets.
• Participating in a scrum environment (stand-ups, planning sessions, etc.).

Achievements:

• Numerous defects detected.
• Created recommendations for user interface improvement.
• Project technical documentation improved.
• Development process improvements
• Detected few critical defects (application crash prevented, client's data corruption prevented)
• Detected few performance-related defects (performance was increased)