Mitali Singla

Data professional with 4+ years validating data pipelines, ETL transformations, and reporting accuracy across large-scale datasets, combining hands-on SQL validation experience with a QA background in test design, regression testing, and UAT.

Data Analyst at Softel Solutions (2021-04 – 2024-10)

• Queried and analyzed 100K+ records across 15+ tables using SQL joins, CTEs, subqueries, and window functions to support reporting, validation, and business analysis.
• Validated and streamlined ETL pipelines and transformation logic, automating recurring data quality checks and reducing pipeline errors by 30%.
• Partnered with stakeholders to define KPIs, validation rules, and reporting requirements for 10+ workflows.
• Performed data quality checks and exploratory analysis to identify inconsistencies, resolve reporting issues, and improve data accuracy.
• Documented data lineage, transformation logic, and business rules for 8+ client-facing reports.
• Supported end-to-end analytics tasks including data extraction, validation, reporting, and stakeholder presentations.

QA Engineer at Infowiz (2020-02 – 2021-03)

• Gathered and documented business requirements through BRDs, user stories, and acceptance criteria in an Agile environment.
• Used SQL for backend data validation to ensure consistency between application outputs and source data.
• Built and maintained a Jenkins pipeline to trigger Selenium-based automated tests in headless mode, reducing manual regression testing effort and catching defects earlier in the release cycle.
• Designed and executed test cases, regression testing, and UAT, improving release quality and reducing production issues.
• Collaborated with stakeholders and developers to clarify requirements, track defects in Jira, and support timely resolution.
• Analyzed workflows and business processes to identify gaps and improve system usability and efficiency.

Data Coordinator at Aforserve India Pvt Ltd (2019-01 – 2019-11)

• Maintained complaint tracking datasets in Excel, monitoring status, turnaround time, and customer information.
• Performed regular data cleaning and validation to improve accuracy and reporting consistency.
• Analyzed complaint trends and resolution delays to support operational tracking and follow-up.

AEC Diploma in Data Science and Engineering – Montreal College of Information Technology (2025 – 2026)

Bachelor of Computer Science – Punjab Technical University (2014 – 2018)